JP2020074773A - Fertilization amount determination device and fertilization amount determination method - Google Patents
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Abstract
Description
本発明は、農作物についての追肥時の施肥量を決定する施肥量決定装置および施肥量決定方法に関する。 TECHNICAL FIELD The present invention relates to a fertilization amount determination device and a fertilization amount determination method for determining a fertilization amount for top-dressing a crop.
稲作では、幼穂の形成時期から出穂時期までの所定のタイミングで穂肥と呼ばれる追肥が行われているが、従来、この追肥に関し、収穫物の品質・収量向上のため、適切な追肥時の施肥量を算出し、決定する技術が提案されている。例えば、特許文献1には、今期生育中の稲(水稲)の葉色および茎数を測定し、葉色および茎数から吸収窒素量を求め、吸収窒素量から既に投入した窒素施用量を減算して地力窒素量を求め、地力窒素量と事前に設定された適正窒素量から次期の稲作に必要な窒素施用量(施肥量)を求める技術が記載されている。このような技術は、稲作に限ったことではなく、他の農作物、例えば小麦、大麦または大豆等の穀物や野菜や果物等についても同様に提案されている。 In rice cultivation, top fertilization called ear fertilization is performed at a predetermined timing from the formation of panicles to the emergence of head. Conventionally, in order to improve the quality and yield of the harvest, this top fertilizer is applied appropriately at the time of top fertilization. Techniques for calculating and determining quantities have been proposed. For example, in Patent Document 1, the leaf color and the number of stems of rice (paddy rice) that are growing this season are measured, the amount of absorbed nitrogen is obtained from the leaf color and the number of stems, and the nitrogen application amount that has already been input is subtracted from the amount of absorbed nitrogen. A technique for obtaining the amount of soil nitrogen and obtaining the amount of nitrogen (fertilization) required for the next rice cultivation from the amount of soil nitrogen and the appropriate amount of nitrogen set in advance is described. Such a technique is not limited to rice cultivation, and is similarly proposed for other agricultural crops, for example, grains such as wheat, barley or soybean, vegetables and fruits.
稲作による収穫物の品質(外観品質に限らず、タンパク質含有率等の成分の品質を含む)・収量等の収穫物の状態に影響を与える要素は、特許文献1で開示された要素(既に行った追肥の施肥量等)のほか様々なものが存在し、また、近年の研究の結果、稲作による収穫物の状態(品質・収量等。ただし、品質・収量に限られない)に影響を与える要素が新たに発見されている。このため、稲作に関する分野では、収穫物の状態に影響する要素が判明した場合には、その要素による影響を考慮した新たな手法で適切な施肥量を決定できるようにしたいとするニーズがある。このようなニーズは、稲作に限ったことではなく、稲以外の農作物、例えば小麦、大麦又は大豆等の穀物や野菜や果物等の栽培についても同様である。 Factors that affect the quality of harvested rice (including not only appearance quality but also the quality of components such as protein content) and yield are factors disclosed in Patent Document 1 (already There are various other types of fertilizer application, etc.), and as a result of recent research, it affects the state of harvested rice (quality, yield, etc., but not limited to quality, yield). The element is newly discovered. For this reason, in the field of rice cultivation, when factors that affect the state of harvest are found, there is a need to be able to determine an appropriate fertilizer application amount by a new method that takes into consideration the influence of the factors. Such needs are not limited to rice cultivation, but are also applicable to the cultivation of agricultural crops other than rice, such as wheat, barley or soybeans, and vegetables and fruits.
本発明は、このような問題を解決するために成されたものであり、農作物の栽培による収穫物の状態に影響することが判明した要素による影響を考慮した新たな手法で適切な施肥量を決定可能な施肥量決定装置を提供することを目的とする。 The present invention was made in order to solve such a problem, and an appropriate fertilization amount is applied by a new method in consideration of the influence of the elements found to affect the state of the harvest due to the cultivation of agricultural products. It is an object to provide a decidable fertilizer application rate determination device.
上記した課題を解決するために、本発明では、農作物の植生に関する情報、および、農作物の登熟期または生育期の予想気温を取得すると共に、過去の実際の追肥時の施肥量、追肥時の植生に関する情報、追肥後に到来した登熟期または生育期の気温、および、登熟期後に収穫された農作物の状態に基づいて生成された、登熟期または生育期の気温が所定温度であると予想される場合に農作物の状態を目標の状態とするために追肥時に必要な施肥量に関する施肥量関連情報を取得し、取得した各情報に基づいて、追肥時の施肥量を決定するようにしている。また、本発明は、農作物の分析用画像データによる追肥時の植生に関する情報と、該農作物の登熟期または生育期の予想気温から施肥量を決定する方法を提供する。 In order to solve the above problems, in the present invention, while obtaining the information about the vegetation of the crop, and the expected temperature of the ripening period or the growing season of the crop, the amount of fertilizer applied during the actual actual topdressing in the past, at the time of topdressing The temperature at the ripening or growing season, which is generated based on the information about vegetation, the temperature at the ripening or growing season after the fertilization, and the condition of the crops harvested after the ripening, is the predetermined temperature. Acquire fertilization rate related information regarding the fertilization rate required at the time of additional fertilization in order to set the state of the agricultural product to the target state when it is expected, and determine the fertilization rate at the time of additional fertilization based on each acquired information. There is. The present invention also provides a method for determining the amount of fertilizer applied based on information about vegetation at the time of top fertilization based on image data for analysis of agricultural products and the expected temperature during the ripening period or growing period of the agricultural products.
なお、本発明の農作物とは、稲、小麦、大麦又は大豆等の穀物や野菜や果物等を意味するが、必ずしもこれらに限られず、人に管理された全ての植物を含んだ意味として使用する。例えば、森林や草原を構成する植物についても人に管理されている場合には、本発明に含まれる。また、本発明における「登熟期」や「生育期」について、前者は稲や麦に対応する時期を意味し、後者は農作物全般に対応する時期を意味する。すなわち、稲や麦は「登熟期」や「生育期」が対応する時期となるが、他の農作物の場合には、「生育期」が対応する時期となる。 The crops of the present invention means rice, wheat, barley, soybeans, and other grains, vegetables, fruits, and the like, but is not limited thereto, and is used as a meaning that includes all human-controlled plants. .. For example, the plant that constitutes a forest or grassland is included in the present invention when it is managed by a person. Regarding the "ripening period" and the "growing period" in the present invention, the former means a time corresponding to rice and wheat, and the latter means a time corresponding to all agricultural crops. That is, the rice and wheat are the periods corresponding to the "ripening period" and the "growing period", but in the case of other agricultural products, the "growing period" is the corresponding period.
ここで、発明者らは、研究の結果、追肥時の施肥量と、追肥時における植生に関する情報と、追肥後の登熟期の気温とが収穫物の状態に影響を及ぼしており、追肥時の植生に関する情報と登熟期の予想気温との組み合わせに応じて施肥量を調整することにより、収穫される農作物の状態を向上させることが可能であることを見出した。そして、上記のように構成した本発明によれば、過去の実際の施肥量と植生に関する情報と登熟期の温度とがどのような関係であったかを反映して、収穫される農作物の状態を目標の状態とするような施肥量を、追肥時の植生に関する情報と登熟期の予想気温との組み合わせに応じて適切に決定することができる。つまり、本発明によれば、追肥時の施肥量、追肥時における植生に関する情報および追肥後の登熟期の気温という収穫物の状態に影響を及ぼすことが判明した要素を考慮した新たな手法で適切な施肥量を決定することが可能となる。 Here, as a result of the research, the inventors have found that the amount of fertilizer applied during topdressing, information on vegetation during topdressing, and the temperature during the ripening period after topdressing affect the state of the harvested product. It was found that it is possible to improve the condition of the harvested crops by adjusting the fertilizer application rate according to the combination of the information about vegetation and the expected temperature during the ripening period. Then, according to the present invention configured as described above, reflecting the relationship between the past actual fertilizer application amount, information about vegetation and the temperature during the ripening period, the state of the harvested agricultural crops is reflected. It is possible to appropriately determine the amount of fertilizer applied to achieve the target state according to the combination of the information on vegetation during topdressing and the expected temperature during the ripening period. That is, according to the present invention, it is a new method in consideration of the amount of fertilizer applied during topdressing, information about vegetation during topdressing, and the factors found to affect the state of the harvest such as the temperature during the ripening period after topdressing. It is possible to determine an appropriate fertilization amount.
以下、本発明の一実施形態を図面に基づいて説明する。ただし本発明は、以下の実施形態に限定されない。図1は、本実施形態に係る施肥量決定装置1の構成例を示すブロック図である。図1に示すように、施肥量決定装置1には、液晶ディスプレーや、有機ELディスプレー等の表示装置2と、マウスやキーボード等の入力装置3とが接続されている。 An embodiment of the present invention will be described below with reference to the drawings. However, the present invention is not limited to the following embodiments. FIG. 1 is a block diagram showing a configuration example of a fertilizer application determination device 1 according to the present embodiment. As shown in FIG. 1, the fertilizer application rate determination device 1 is connected to a display device 2 such as a liquid crystal display or an organic EL display, and an input device 3 such as a mouse or a keyboard.
図1に示すように、施肥量決定装置1は、機能構成として、通信部10、施肥量関連情報生成部11、植生指数情報生成部12、予想気温情報生成部13、施肥量関連情報取得部14、植生指数情報取得部15(特許請求の範囲の「植生関連情報取得部」に相当)、予想気温情報取得部16および施肥量決定部17を備えている。上記各機能ブロック10〜17は、ハードウェア、DSP(Digital Signal Processor)、ソフトウェアの何れによっても構成することが可能である。例えばソフトウェアによって構成する場合、上記各機能ブロック10〜17は、実際にはコンピューターのCPU、RAM、ROMなどを備えて構成され、RAMやROM、ハードディスクまたは半導体メモリー等の記録媒体に記憶されたプログラムが動作することによって実現される。 As shown in FIG. 1, the fertilizer application rate determination device 1 has, as a functional configuration, a communication unit 10, a fertilizer application related information generation unit 11, a vegetation index information generation unit 12, an estimated temperature information generation unit 13, and a fertilization amount related information acquisition unit. 14, a vegetation index information acquisition unit 15 (corresponding to “vegetation-related information acquisition unit” in claims), an estimated temperature information acquisition unit 16 and a fertilizer application determination unit 17. Each of the functional blocks 10 to 17 can be configured by any of hardware, DSP (Digital Signal Processor), and software. For example, when configured by software, each of the functional blocks 10 to 17 is actually configured to include a CPU, RAM, ROM, etc. of a computer, and a program stored in a recording medium such as RAM, ROM, hard disk or semiconductor memory. Is realized by operating.
図1に示すように、施肥量決定装置1は、記憶手段として、分析用情報記憶部20、施肥量関連情報記憶部21、植生指数情報記憶部22および予想気温情報記憶部23を備えている。これら記憶部が記憶するデータについては後述する。 As shown in FIG. 1, the fertilizer application rate determination device 1 includes an analysis information storage section 20, a fertilizer application related information storage section 21, a vegetation index information storage section 22, and an estimated temperature information storage section 23 as storage means. .. The data stored in these storage units will be described later.
施肥量決定装置1は、追肥(追肥についての詳細は後述)時に施す肥料の量(施肥量)を決定し、施肥量を示す情報をユーザーに提供する装置である。ユーザーは、追肥にあたって施肥量決定装置1により提供された施肥量に関する情報を参考にして、実際に施す肥料の量(施肥量)を適切に決定することができる。なお、以下の説明では、対象とする稲、稲作について、稲の品種や、稲作が行われる環境(地域(寒冷地域や、温暖地域、乾燥地域等)、標高、圃場の規模、稲作の方法等)、追肥時に施される肥料の種類、その他の稲の生育に影響を与える外部的な環境は、共通しているものとする。従って、施肥量決定装置1により決定された施肥量は、特定の環境で栽培される特定の品種の稲について、特定の種類の肥料を施す場合に適切な施肥量ということになる。以下、まず、発明者らによる研究の成果について説明し、その後、施肥量決定装置1の機能、処理について説明する。 The fertilizer application amount determination device 1 is a device that determines the amount of fertilizer to be applied (applying amount will be described later in detail) (applying amount) and provides the user with information indicating the applied amount. The user can appropriately determine the amount of fertilizer to be actually applied (fertilization amount) by referring to the information on the fertilization amount provided by the fertilization amount determination device 1 in the additional fertilization. In the following explanation, regarding the target rice and rice cultivation, rice varieties, environment in which rice cultivation is performed (region (cold region, warm region, arid region, etc.), altitude, field size, rice cultivation method, etc. ), The type of fertilizer applied at the time of additional fertilization, and other external environment that affects the growth of rice shall be common. Therefore, the fertilization amount determined by the fertilization amount determination device 1 is an appropriate fertilization amount when a specific type of fertilizer is applied to rice of a specific variety cultivated in a specific environment. Hereinafter, the results of the research conducted by the inventors will be described first, and then the functions and processing of the fertilizer application rate determination device 1 will be described.
発明者らは、稲作により収穫される玄米の外観品質を研究対象の1つとする者達である。周知の通り、稲は、田植えによって稲代から圃場に移された後、分げつ期→幼穂形成期→出穂期→開花・受粉期→穂揃期→登熟期→成熟期という段階を経て成長する。幼穂形成期は、出穂の大体20〜25日前である。幼穂形成期前後から出穂期前後に至るまでの期間(以下、「追肥対象期間」という。)では、通常、穂に着生する籾の個数の増大や、籾に詰まるデンプンの量の増大等を目的として、肥料(主に窒素肥料)を追加する追肥(穂肥と呼ばれる場合もある)が行われる。本実施形態において、「追肥」という場合、特に説明がない限り、追肥対象期間における所定のタイミングで行われる肥料の追加を意味する。また、登熟期は、開花・受粉時期から大体40〜50日間を指し、稲は、この登熟期にデンプンを生成し、玄米中の胚乳に蓄積する。 The inventors of the present invention are ones who make the appearance quality of brown rice harvested by rice cultivation one of the research subjects. As is well known, after rice is transferred from the rice field to the field by rice planting, it goes through the stages of tillering period → earing stage → heading period → flowering / pollination period → panning stage → ripening stage → maturation stage. grow up. The earing stage is approximately 20 to 25 days before heading. During the period from before and after the ear emergence period to before and after the ear emergence period (hereinafter referred to as the “top fertilization target period”), usually, the number of paddy grains that settle on the spikes and the amount of starch stuck in the paddy are increased. For the purpose, additional fertilizer (mainly nitrogen fertilizer) is added to the fertilizer (sometimes called hot manure). In the present embodiment, the term “additional fertilizer” means addition of fertilizer performed at a predetermined timing in the additional fertilizer application period, unless otherwise specified. Further, the ripening period refers to about 40 to 50 days from the flowering / pollination period, and rice produces starch during this ripening period and accumulates in endosperm in brown rice.
稲作により収穫された籾から籾殻を除去した玄米は、外観品質によって、低品質の「白未熟粒」をはじめとする「未熟粒」、「被害粒」、「死米」、「着色粒」と、これらに該当しない高品質の「整粒」とに分類することができる。更に、「白未熟粒」は、胚と同じ側の側面が白濁した「腹白粒」と、胚と反対側の側面が白濁した「背白粒」と、胚に近い基部が白濁した「基部未熟粒」と、胚乳の中心部が白濁した「心白粒」と、胚乳の半分以上が白濁した「乳白粒」とに分類することができる。そして、収穫された玄米における整粒の割合が、主食用の玄米の品位を決める際の条件とされる場合がある。例えば、整粒の割合が70%以上の場合は1等、60%以上の場合は2等、45%以上の場合は3等、45%未満の場合は規格外といった具合に、整粒の割合によって品位を示す等級が決められる場合がある。このようにして決められた玄米の等級は、玄米の価格に反映されるため、生産者にとって白未熟粒の発生を抑制することは非常に重要な問題である。 Unhulled rice from which rice husks have been removed from paddy harvested by rice cultivation is called "immature grain" such as "white immature grain", "damaged grain", "dead rice", "colored grain" depending on the appearance quality. , And can be classified as high-quality “sized particles” that do not correspond to these. In addition, "white immature grains" include "belly white grains" that are cloudy on the same side as the embryo, "back white grains" that are cloudy on the side opposite the embryo, and "base that is cloudy at the base near the embryo. It can be classified into "immature grain", "heart white grain" in which the central part of the endosperm is cloudy, and "milky grain" in which more than half of the endosperm is cloudy. The proportion of sized rice in the harvested brown rice may be a condition for determining the quality of brown rice for staple food. For example, when the proportion of sizing is 70% or more, it is 1 grade, when it is 60% or more, it is 2 grades, when it is 45% or more, it is 3 grades, and when it is less than 45%, it is nonstandard. Depending on the grade, a grade indicating quality may be determined. Since the grade of brown rice determined in this way is reflected in the price of brown rice, it is a very important issue for the producer to suppress the generation of white immature grains.
ここで、出穂後に到来する登熟期の前半の気温が、収穫された玄米における白未熟粒の割合(以下、「白未熟粒歩合」という)に影響を及ぼし、特に、登熟期の前半の気温が高いほど、白未熟粒の割合が高くなる強い傾向がある。図2は、ある品種の稲について、「登熟期の前半に相当する出穂後20日間」(以下、図2の説明において、「検証期間」という)の日平均気温の平均値と、白未熟粒歩合との関係とを示している。図2の出典は、「森田敏.2005.水稲の登熟期の高温によって発生する白未熟粒、充実不足および粒重低下.農業技術60:6−10.」である。図2は、日平均気温の平均値を表す横軸と白未熟粒歩合を表す縦軸とを有するプロット図であり、図中の各点は、検証期間の日平均気温の平均値が何℃であったときに白未熟粒歩合が何%であったのかを示している。また、図2では、プロットされた各点に基づく近似曲線を描画している。 Here, the temperature of the first half of the ripening period, which comes after heading, affects the proportion of white unripe grains in the harvested brown rice (hereinafter referred to as "white unripe grain ratio"), and particularly in the first half of the ripening period. The higher the temperature, the higher the proportion of white immature grains tends to be. Fig. 2 shows the average value of the daily average temperature of "20 days after heading corresponding to the first half of the ripening period" (hereinafter referred to as "verification period" in the explanation of Fig. 2) and the white immaturity of a certain variety of rice. The relationship with the grain ratio is shown. The source of FIG. 2 is “Morita Satoshi. 2005. White immature grains, insufficient filling and grain weight reduction caused by high temperature during ripening stage of paddy rice. Agricultural technology 60: 6-10.”. FIG. 2 is a plot diagram having a horizontal axis representing the average value of the daily average temperature and a vertical axis representing the white immature grain ratio, and each point in the figure shows what the average value of the daily average temperature during the verification period is. It shows what percentage the white immature grain ratio was. Further, in FIG. 2, an approximate curve based on each plotted point is drawn.
図2に示すように、検証期間において日平均気温が取り得る範囲(22℃程度から29℃程度の範囲)では、検証期間の日平均気温の平均値と白未熟粒歩合との間に強い正の相関関係があり、検証期間の日平均気温の平均値が高いほど、白未熟粒歩合が高くなる。特に、検証期間の日平均気温の平均値が27℃以上になると、日平均気温の上昇分に対する白未熟粒歩合の上昇分が非常に大きくなり、日平均気温が1℃程度上昇すると、白未熟粒歩合が10%程度上昇する。以上のように、登熟期の前半の気温が高いほど、白未熟粒歩合が高くなる強い傾向がある。 As shown in FIG. 2, in the range where the daily average temperature can be in the verification period (range of about 22 ° C. to 29 ° C.), there is a strong positive difference between the average value of the daily average temperature and the white immature grain ratio in the verification period. The higher the average value of the daily average temperature during the verification period, the higher the white immature grain ratio. In particular, when the average value of the daily average temperature during the verification period becomes 27 ° C or higher, the increase in the white immature grain ratio with respect to the increase in the average daily temperature becomes extremely large. Grain ratio increases by about 10%. As described above, the higher the temperature in the first half of the ripening period, the higher the percentage of white immature grains tends to be.
更に、発明者らは、登熟期の前半の気温が高いと白未熟粒歩合が高くなる原因の1つは、以下であることを認識した。すなわち、白未熟粒のうち背白粒は、登熟期の前半の気温が高く、かつ、玄米タンパクが低いと多発する傾向があることを認識すると共に、基部未熟粒も、登熟期の前半の気温が高く、かつ、玄米タンパクが低いと多発する傾向があることを新たに見出した上で、上記原因の1つは、登熟期の前半の高温および玄米タンパクの低さに起因する基部未熟粒および背白粒の多発であることを認識した。以下では、登熟期の前半であって、気温が高い場合に基部未熟粒および背白粒を多発させると想定される期間を「対象登熟期」という。対象登熟期は、登熟期の前半に相当する出穂後15〜20日間とされる。また、以下の説明において、「対象登熟期の気温(または予想気温)」という場合、特に説明がない限り、対象登熟期の各日の日平均気温の平均値(または予想される平均値)を意味する。 Furthermore, the present inventors have recognized that one of the causes of a high white immature grain ratio when the temperature in the first half of the ripening period is high is as follows. That is, among the white immature grains, the dorsal white grains tend to occur frequently when the temperature is high in the first half of the ripening period and the brown rice protein is low. It was newly found that the temperature tends to occur frequently when the temperature is high and the brown rice protein is low, and one of the causes is the base caused by the high temperature in the first half of the ripening period and the low brown rice protein. It was recognized that there were multiple immature grains and dorsal grains. Hereinafter, the period that is the first half of the ripening period and is assumed to cause frequent occurrence of immature base grains and dorsal white grains when the temperature is high is referred to as “target ripening period”. The target ripening period is 15 to 20 days after the heading, which corresponds to the first half of the ripening period. In addition, in the following explanation, when the term “air temperature during target ripening period (or expected temperature)” is used, unless stated otherwise, the average value of daily average temperature of each day during the target ripening period (or expected average value) ) Means.
更に、発明者らは、対象登熟期の高温および玄米タンパクの低さに起因して基部未熟粒および背白粒が多発することを踏まえた研究の結果、追肥対象期間(上述したように、幼穂の形成時期から出穂時期に至るまでの期間)に行われる追肥時の施肥量と、この追肥時における稲の群落(植生)の活性度と、追肥後に到来する対象登熟期の気温とが、基部未熟粒および背白粒の発生に影響していることを見出した。更に、稲の群落の活性度の指標として使用可能な追肥時のNDVI(Normalized Difference Vegetation Index)と、対象登熟期の予想気温と組み合わせに応じて、追肥時の施肥量を適切に調整することにより、基部未熟粒および背白粒の発生を抑制できる可能性があることも見出した。また、追肥時の施肥量を適切に調整することにより、収量を向上できる可能性があることも見出した。なお、NDVIについては後に説明する。 Furthermore, as a result of research based on the fact that the base immature grains and dorsal white grains frequently occur due to the high temperature in the target ripening stage and the low brown rice protein, the inventors have studied the additional fertilization target period (as described above, The amount of fertilizer applied during topdressing, which is the period from the formation of panicles to the time of heading), the activity of the rice community (vegetation) during this topdressing, and the temperature of the target ripening period that comes after topdressing , It was found that it affects the generation of immature grains and white back grains. Furthermore, the NDVI (Normalized Difference Vegetation Index) at the time of topdressing that can be used as an indicator of the activity of the rice canopy and the expected temperature during the target ripening period should be combined appropriately to adjust the fertilizer application rate during topdressing. It was also found that the possibility of suppressing the immature base grains and the white back grain is suppressed. It was also found that the yield may be improved by appropriately adjusting the amount of fertilizer applied during additional fertilization. Note that NDVI will be described later.
この可能性の下、発明者らは、追肥時の施肥量、追肥時のNDVIおよび対象登熟期の気温が異なる複数のグループを生育すると共に、各グループにおいて発生した基部未熟粒および背白粒の状況、特に、「収穫された玄米における基部未熟粒および背白粒の割合」を観測した。以下、収穫された玄米における基部未熟粒および背白粒の割合を「特定白未熟粒歩合」といい、「白未熟粒歩合」と区別する。特定白未熟粒歩合は、特許請求の範囲の「低品質割合」に相当する。 Under this possibility, the present inventors grow a plurality of groups having different fertilizer application amounts during topdressing, NDVI during topdressing, and temperature during the target ripening period, and also develop immature base grains and dorsal grains in each group. , Especially the "proportion of base immature grains and dorsal white grains in harvested brown rice" was observed. Hereinafter, the ratio of the base immature grain and the back white grain in the harvested brown rice is referred to as "specific white immature grain ratio" and is distinguished from "white immature grain ratio". The specific white immature grain ratio corresponds to the "low quality ratio" in the claims.
更に、発明者らは、各グループについての観測結果について、特定白未熟粒歩合を目的変数とし、追肥時の施肥量、追肥時のNDVIおよび対象登熟期の気温を説明変数とする重回帰分析を行い、特定白未熟粒歩合と対象登熟期の気温との組み合わせ毎に、追肥時のNDVIを変数として代入し施肥量を算出する施肥量算出式K1を算出した。なお、特定白未熟粒歩合が取り得る値、対象登熟期の気温が取り得る値は予め定められている。 Furthermore, the inventors performed multiple regression analysis on the observation results for each group with the specific white immature grain ratio as the target variable and the fertilizer application amount during topdressing, NDVI during topdressing, and the temperature during the target ripening period as explanatory variables. The fertilization amount calculation formula K1 for calculating the fertilization amount by substituting the NDVI at the time of additional fertilization as a variable for each combination of the specific white immature grain ratio and the temperature during the target ripening period was calculated. The value that the specific white immature grain ratio can take and the value that the temperature during the target ripening period can take can be set in advance.
施肥量算出式K1を用いることにより、追肥時のNDVIが所定値であり、かつ、登熟期の気温が所定温度であると予想される場合に、特定白未熟粒歩合を目標値とするために追肥時に必要な施肥量を算出することが可能である。すなわち、特定白未熟粒歩合の目標値と、登熟期の予想気温とが定まれば、対応する施肥量算出式K1が定まる。この施肥量算出式K1に、追肥時のNDVIを代入することにより、追肥時に必要な施肥量を算出することができる。以下、追肥時に必要な施肥量を「必要施肥量」という。なお、「特定白未熟粒歩合を目標値とする」とは、特定白未熟粒歩合の値が目標値(例えば、「10%」)以下となるようにすることを意味する。また、「必要施肥量」とは、特定白未熟粒歩合を目標値とするために最低限必要な肥料の量を意味する。 By using the fertilization amount calculation formula K1, the specific white immature grain ratio is set as the target value when the NDVI at the time of additional fertilization is the predetermined value and the temperature during the ripening period is expected to be the predetermined temperature. It is possible to calculate the amount of fertilizer required at the time of topdressing. That is, when the target value of the specific white immature grain ratio and the expected temperature during the ripening period are determined, the corresponding fertilization amount calculation formula K1 is determined. By substituting the NDVI at the time of additional fertilization into this fertilization amount calculation formula K1, the amount of fertilization required at the time of additional fertilization can be calculated. Hereinafter, the amount of fertilizer required for additional fertilization will be referred to as "required amount of fertilizer". In addition, "the specific white immature grain ratio is set as a target value" means that the value of the specific white immature grain ratio is equal to or less than a target value (for example, "10%"). Further, the "necessary fertilizer application amount" means the minimum amount of fertilizer required to set the specific white immature grain ratio as a target value.
発明者らは、以上の方法で施肥量算出式K1を算出し、その有意性について確認した。 The inventors calculated the fertilization amount calculation formula K1 by the above method and confirmed its significance.
図3は、特定白未熟粒歩合の目標値が「10%」である場合において、対象登熟期の予想気温の3つの例毎に、施肥量算出式K1によって表される追肥時のNDVIと必要施肥量との関係を示す図である。図3の各図では、横軸にNDVIを取り、縦軸に必要施肥量(単位は、Nkg/10a)を取ったグラフによって追肥時のNDVIと必要施肥量との関係を示している。図3(A)の対象登熟期の予想気温は「26.8℃」であり、図3(B)の対象登熟期の予想気温は「27.0℃」であり、図3(C)の対象登熟期の予想気温は「27.2℃」である。 FIG. 3 shows NDVI at the time of additional fertilization expressed by the fertilization amount calculation formula K1 for each of the three examples of the expected temperature during the target ripening period when the target value of the specific white immature grain ratio is “10%”. It is a figure which shows the relationship with a required fertilization amount. In each figure of FIG. 3, the horizontal axis represents NDVI and the vertical axis represents the required fertilizer application amount (unit: Nkg / 10a), which shows the relationship between the NDVI and the required fertilizer application amount at the time of additional fertilization. The expected temperature during the target ripening period in FIG. 3 (A) is “26.8 ° C.”, and the expected temperature during the target ripening period in FIG. 3 (B) is “27.0 ° C.”, and FIG. The expected temperature during the target ripening period in () is "27.2 ° C".
図3の各図から明らかな通り、特定白未熟粒歩合の目標値が同じであれば、対象登熟期の予想気温にかかわらず、追肥時のNDVIが小さいほど、必要施肥量は大きい。これは、上述したように、玄米タンパク質の不足が特定白未熟粒歩合に影響しており、NDVIが小さいと想定される場合には、施肥量を大きくして窒素栄養状態を良好化することにより、特定白未熟粒歩合の低減に有効に寄与することが理由の1つである。 As is clear from each figure in FIG. 3, if the target value of the specific white immature grain ratio is the same, the smaller the NDVI at the time of additional fertilization is, the larger the required fertilization amount is, regardless of the expected temperature during the target ripening period. As described above, this is because the lack of brown rice protein affects the specific white immature grain ratio, and when NDVI is assumed to be small, the fertilizer application amount is increased to improve the nitrogen nutrition state. One of the reasons is that it contributes effectively to the reduction of the specific white immature grain ratio.
また、図3の各図から明らかな通り、特定白未熟粒歩合の目標値が同じ場合において、NDVIが同じ値の場合には、対象登熟期の予想気温の値が大きいほど必要施肥量が大きくなる。例えば、対象登熟期の予想気温が「26.8℃」である図3(A)では、NDVIが「0.82」のときの必要施肥量は「A値」であり、対象登熟期の予想気温が「27.0℃」である図3(B)では、NDVIが「0.82」のときの必要施肥量は「B値」(>「A値」)であり、対象登熟期の予想気温が「27.2℃」である図3(C)では、NDVIが「0.82」のときの必要施肥量は「C値」(>「B値」)である。これは、対象登熟期の気温と、追肥時の施肥量とには関連があり、対象登熟期の気温が高い場合には、追肥時の施肥量を多くすることにより、特定白未熟粒歩合を低減することが可能であることが理由の1つである。 Further, as is clear from each figure of FIG. 3, when the target value of the specific white immature grain ratio is the same and the NDVI is the same value, the required fertilization rate increases as the value of the expected temperature during the target ripening period increases. growing. For example, in FIG. 3 (A) in which the expected temperature during the target ripening period is “26.8 ° C.”, the required fertilizer application amount when the NDVI is “0.82” is the “A value”, and the target ripening period is In Fig. 3 (B), where the expected temperature of "27.0 ° C" is "27.0 ° C", the required fertilization rate is "B value" (> "A value") when NDVI is "0.82", and the target ripening is In FIG. 3C in which the expected temperature in the period is “27.2 ° C.”, the required fertilizer application amount is “C value” (> “B value”) when NDVI is “0.82”. This is related to the temperature during the target ripening period and the amount of fertilizer applied during topdressing, and when the temperature during the target ripening period is high, increasing the amount of fertilizer applied during topdressing enables specific white immature grains to be added. One of the reasons is that it is possible to reduce the commission.
なお、必要追肥量をY、NDVI値をxとすると、例えば施肥量算出式K1は、図3(A)の場合「Y = -18.129x +15.487」、図3(B)の場合「Y = -18.129x +17.315」、図3(C)の場合「Y = -18.129x +19.141」と示すことができる。ただし、施肥量算出式K1はこのような1次式に限られない。NDVI値及び登熟期の気温から適切な必要追肥量を求めることができれば如何なる式でも該当し得る。 When the required additional fertilizer amount is Y and the NDVI value is x, for example, the fertilization amount calculation formula K1 is “Y = -18.129x + 15.487” in the case of FIG. 3 (A) and “Y = -18.129x +17.315 ", and in the case of FIG. 3C," Y = -18.129x +19.141 ". However, the fertilizer application calculation formula K1 is not limited to such a linear formula. Any formula can be applied as long as an appropriate required additional fertilizer amount can be obtained from the NDVI value and the temperature during the ripening period.
図3で例示したような特定白未熟粒歩合の目標値と対象登熟期の予想気温と追肥時のNDVIと必要施肥量との具体的な関係性、特に、特定白未熟粒歩合の目標値と、対象登熟期の予想気温との組み合わせ毎の追肥時のNDVIと必要施肥量との具体的な関係性は、発明者らによる研究によって明らかとなったものである。 A specific relationship between the target value of the specific white immature grain ratio, the expected temperature during the target ripening period, the NDVI at the time of topdressing, and the required fertilizer application amount, as shown in FIG. 3, in particular, the target value of the specific white immature grain ratio The specific relationship between NDVI at the time of topdressing and the required fertilizer application amount for each combination of the target temperature and the expected temperature during the ripening period was clarified by the study by the inventors.
さて、通信部10は、LANや、インターネットを含むネットワークNを介して所定の通信規格に従って外部機器と通信する。 Now, the communication unit 10 communicates with an external device according to a predetermined communication standard via a LAN or a network N including the Internet.
分析用情報記憶部20は、分析用情報データベース20aを記憶する。分析用情報データベース20aは、追肥時の施肥量、追肥時のNDVI、対象登熟期の気温が共通し、まとまって収穫されるグループ毎に、分析用情報を累積的に記憶するデータベースである。あるグループについての分析用情報は、そのグループに対して追肥時に施された肥料の量を示す情報、そのグループの追肥時のNDVI、そのグループについて追肥後に到来した対象登熟期の気温を示す情報、そのグループについて収穫時の特定白未熟粒歩合を示す情報、および、そのグループに関する付随情報を含んでいる。付随情報は、グループが栽培された期間を特定できる情報(年度等)や、グループの栽培中に例外とみなせる異常気象が発生したこと等、分析用情報に基づいて施肥量算出式K1を算出する際に考慮すべき事象に関する情報である。分析用情報のそれぞれは、グループに対する観測結果に基づいてユーザーにより適切に生成され、分析用情報データベース20aに登録される。 The analysis information storage unit 20 stores the analysis information database 20a. The analysis information database 20a is a database in which the amount of fertilizer applied during topdressing, the NDVI during topdressing, and the temperature during the target ripening period are common, and the analysis information is cumulatively stored for each group that is collectively harvested. The information for analysis about a certain group is information indicating the amount of fertilizer applied to the group at the time of topdressing, NDVI at the time of topdressing of that group, and information indicating the temperature of the target ripening period that arrived after topdressing for that group. , The information indicating the specific white immature grain ratio at the time of harvest for that group, and the accompanying information about that group. For the incidental information, the fertilization amount calculation formula K1 is calculated based on the information for analysis such as information that can specify the period in which the group has been cultivated (year, etc.), abnormal weather that can be considered as an exception during cultivation of the group, and the like. This is information about the event that should be taken into consideration. Each piece of analysis information is appropriately generated by the user based on the observation result for the group, and registered in the analysis information database 20a.
施肥量関連情報記憶部21は、施肥量関連情報データベース21aを記憶する。
施肥量関連情報データベース21aは、特定白未熟粒歩合の目標値と、対象登熟期の予想気温との組み合わせ毎に、施肥量算出式K1を対応付けて記憶するデータベースである。本実施形態では、特定白未熟粒歩合の目標値および対象登熟期の予想気温はそれぞれ、取り得る値が予め定められている。例えば、特定白未熟粒歩合の目標値については、「10%」〜「20%」の範囲で「2%」刻みで値を取ると定められ、また、対象登熟期の予想気温に関しては、「20℃」から「35℃」の範囲で「0.2℃」刻みで値を取ると定められている。図4は、施肥量関連情報データベース21aの内容の一例を単純化して模式的に示している。
The fertilizer application information storage unit 21 stores a fertilizer application information database 21a.
The fertilization amount related information database 21a is a database that stores the fertilization amount calculation formula K1 in association with each other for each combination of the target value of the specific white immature grain ratio and the expected temperature during the target ripening period. In the present embodiment, possible values are predetermined for the target value of the specific white immature grain ratio and the expected temperature of the target ripening period. For example, the target value of the specific white immature grain ratio is set to take a value in increments of "2%" in the range of "10%" to "20%", and regarding the expected temperature during the target ripening period, It is stipulated that the value be taken in increments of "0.2 ° C" in the range of "20 ° C" to "35 ° C". FIG. 4 schematically shows a simplified example of the contents of the fertilizer application information database 21a.
施肥量関連情報生成部11は、所定のタイミングで、分析用情報データベース20aに基づいて施肥量関連情報データベース21aを更新する。所定のタイミングは、例えば、ユーザーからの指示があったタイミングであり、また、分析用情報データベース20aが更新されたタイミングであり、また、予め定められた定期的なタイミングである。以下、施肥量関連情報データベース21aを更新するときの施肥量関連情報生成部11の処理について詳述する。 The fertilization amount related information generation unit 11 updates the fertilization amount related information database 21a based on the analysis information database 20a at a predetermined timing. The predetermined timing is, for example, a timing when a user gives an instruction, a timing when the analysis information database 20a is updated, or a predetermined regular timing. Hereinafter, the process of the fertilization amount related information generation unit 11 when updating the fertilization amount related information database 21a will be described in detail.
施肥量関連情報生成部11は、分析用情報データベース20aを参照し、分析用情報データベース20aに記憶された分析用情報のそれぞれを取得する。その際、分析用情報に含まれる付随情報に基づいて、施肥量関連情報生成部11が、施肥量算出式K1の算出に用いることが適切でない分析用情報を排除するようにしてもよい。 The fertilizer application related information generation unit 11 refers to the analysis information database 20a and acquires each of the analysis information stored in the analysis information database 20a. At this time, the fertilization amount related information generating unit 11 may exclude the analysis information that is not appropriate to be used for calculating the fertilization amount calculation formula K1 based on the accompanying information included in the analysis information.
次いで、施肥量関連情報生成部11は、取得した分析用情報について重回帰分析を行い、特定白未熟粒歩合(特定白未熟粒歩合の目標値に相当)と、対象登熟期の気温(対象登熟期の予想気温に相当)との組み合わせ毎に、施肥量算出式K1を算出する。上述の通り、施肥量算出式K1は、追肥時のNDVIを変数として代入し施肥量(必要施肥量に相当)を算出する数式である。なお、施肥量算出式K1の算出にあたり、施肥量関連情報生成部11が、分析用情報に含まれる付随情報に基づいて、異常値を有する分析用情報や、時間的に古い分析用情報が施肥量算出式K1の算出に与える影響の度合いを小さくするような統計学的な処理を行うようにしてもよい。 Next, the fertilizer application related information generation unit 11 performs a multiple regression analysis on the acquired analysis information, and determines the specific white immature grain ratio (corresponding to the target value of the specific white immature grain ratio) and the temperature of the target ripening period (target A fertilizer application formula K1 is calculated for each combination with the expected temperature during the ripening period). As described above, the fertilizer application calculation formula K1 is a mathematical expression for substituting NDVI for additional fertilization as a variable to calculate the fertilizer application amount (corresponding to the required fertilizer application amount). In calculating the fertilization amount calculation formula K1, the fertilization amount related information generation unit 11 determines that the analysis information having an abnormal value or the temporally old analysis information is applied based on the accompanying information included in the analysis information. Statistical processing may be performed to reduce the degree of influence on the calculation of the quantity calculation formula K1.
特定白未熟粒歩合と、対象登熟期の気温との組み合わせ毎に施肥量算出式K1を算出した後、施肥量関連情報生成部11は、算出された施肥量算出式Kにより、施肥量関連情報データベース21aの対応する施肥量算出式K1を更新する。施肥量関連情報生成部11により以上の処理が行われる結果、施肥量関連情報データベース21aに記憶された施肥量算出式K1の内容は、分析用情報データベース20aに累積的に記憶された分析用情報を反映したものとなる。 After calculating the fertilization amount calculation formula K1 for each combination of the specific white immature grain ratio and the temperature during the target ripening period, the fertilization amount related information generation unit 11 uses the calculated fertilization amount calculation formula K to calculate the fertilization amount relation. The corresponding fertilization rate calculation formula K1 in the information database 21a is updated. As a result of the above-described processing being performed by the fertilization amount related information generation unit 11, the content of the fertilization amount calculation formula K1 stored in the fertilization amount related information database 21a is the analysis information cumulatively stored in the analysis information database 20a. Will be reflected.
植生指数情報生成部12は、所定のタイミングで、NDVIを値として有する植生指数情報を生成し、植生指数情報記憶部22に記憶する。所定のタイミングは、施肥量決定部17が必要施肥量を決定するタイミングよりも前のタイミングであればよい。以下、植生指数情報を生成し、植生指数情報記憶部22に記憶するときの植生指数情報生成部12の処理について詳述する。 The vegetation index information generation unit 12 generates vegetation index information having NDVI as a value at a predetermined timing and stores it in the vegetation index information storage unit 22. The predetermined timing may be a timing before the timing at which the fertilizer application rate determination unit 17 determines the required fertilizer application rate. Hereinafter, the processing of the vegetation index information generation unit 12 when generating the vegetation index information and storing it in the vegetation index information storage unit 22 will be described in detail.
植生指数情報生成部12は、分析用画像データを取得する。分析用画像データとは、追肥を行うタイミングに近いタイミングで、ドローンに搭載されたマルチスペクトルセンサーにより、追肥を行う対象の圃場の所定の領域を上空から撮影することによって生成された画像データである。分析用画像データは、ユーザーにより事前に所定の記憶領域に記憶されている。植生指数情報生成部12は、取得した分析用画像データを分析し、周知の方法でNDVIを算出する。NDVIの算出後、植生指数情報生成部12は、算出したNDVIを値として有する植生指数情報を植生指数情報記憶部22に記憶する。 The vegetation index information generation unit 12 acquires image data for analysis. The image data for analysis is image data generated by capturing a predetermined area of the field to be topdressed from above by a multispectral sensor mounted on the drone at a timing close to the timing of topdressing. .. The image data for analysis is previously stored in a predetermined storage area by the user. The vegetation index information generation unit 12 analyzes the acquired image data for analysis and calculates NDVI by a known method. After calculating the NDVI, the vegetation index information generating unit 12 stores the vegetation index information having the calculated NDVI as a value in the vegetation index information storage unit 22.
本実施形態では、NDVIの算出にあたり、ドローンに搭載されたマルチスペクトルセンサーの撮影結果に基づく分析用画像データを使用する。ここで、施肥量を決定するときに使用するパラメーターとして、NDVIに代えて、NDVIと同じく葉色に由来する稲の活性度を測る指標として利用可能なSPADを用いることも可能である。しかしながら、SPAD値を用いる場合、葉緑素計を用いて葉を一枚ずつ測定する必要があり、作業の困難性が高い。特に、圃場が大規模の場合、高い精度でSPAD値を算出するためには、適度に分散された地点で葉緑素計を用いた測定を行う必要があり、作業の困難性が非常に高い。一方で、本実施形態では、ドローンを利用して、NDVIの算出に必要なデータを収集するため、NDVIの算出に際して行われる作業が簡易であり、かつ、圃場が大規模であっても作業の困難性が高くなることがない。ただし、SPAD値を用いることを排除するのではなく、SPAD値や、SPAD値に準じた指標を用いるようにしてもよい。 In the present embodiment, when calculating NDVI, image data for analysis based on the imaging result of the multi-spectral sensor mounted on the drone is used. Here, as a parameter used when determining the amount of fertilizer applied, it is possible to use SPAD, which can be used as an index for measuring the activity of rice derived from leaf color like NDVI, instead of NDVI. However, when the SPAD value is used, it is necessary to measure the leaves one by one using a chlorophyll meter, which makes the work difficult. In particular, in the case of a large-scale field, in order to calculate the SPAD value with high accuracy, it is necessary to perform measurement using a chlorophyll meter at appropriately dispersed points, which makes the work extremely difficult. On the other hand, in the present embodiment, since the data necessary for calculating the NDVI is collected using the drone, the work to be performed in calculating the NDVI is simple, and the work can be performed even when the field is large. The difficulty does not increase. However, instead of excluding the use of the SPAD value, the SPAD value or an index according to the SPAD value may be used.
なお、この効果は、葉緑素計を用いて葉を一枚ずつ測定するのではなく、稲の群落に対する遠隔からのセンシングにより得られる植生指数(本実施形態ではNDVI)を、追肥時の施肥量を決定するときに使用するパラメーターとして用いることにより得ることが可能である。従って、センシングに用いる装置は、マルチスペクトルセンサーに限らず、例えば、赤外線サーモグラフィーであってもよい。また、植生指数は、NDVIに限らず、センシングに用いる装置に応じた適切な方法で算出される指標であればよい。また、装置によるセンシングは、必ずしもドローンを用いて行われる必要はなく、塔の上部に設置された装置を用いて行われたり、脚立を利用して人為的に行われたりしてもよい。また、NDVI(またはこれに相当する指標)の算出に、衛星写真を用いるようにしてもよい。 Note that this effect is obtained by measuring the vegetation index (NDVI in the present embodiment) obtained by remote sensing of the rice canopy, instead of measuring the leaves one by one using a chlorophyll meter. It can be obtained by using it as a parameter used when making a determination. Therefore, the device used for sensing is not limited to the multi-spectral sensor, and may be infrared thermography, for example. The vegetation index is not limited to NDVI and may be any index calculated by an appropriate method according to the device used for sensing. Further, the sensing by the device does not necessarily have to be performed by using a drone, and may be performed by using a device installed at the upper part of the tower or may be performed artificially by using a stepladder. Further, a satellite photograph may be used for calculating NDVI (or an index corresponding thereto).
予想気温情報生成部13は、所定のタイミングで、対象登熟期の予想気温を示す予想気温情報を生成し、予想気温情報記憶部23に記憶する。所定のタイミングは、施肥量決定部17が必要施肥量を決定するタイミングよりも前のタイミングであればよい。以下、予想気温情報を生成し、予想気温情報記憶部23に記憶するときの予想気温情報生成部13の処理について詳述する。 The predicted temperature information generation unit 13 generates predicted temperature information indicating the predicted temperature of the target ripening period at a predetermined timing and stores it in the predicted temperature information storage unit 23. The predetermined timing may be a timing before the timing when the fertilizer application rate determination unit 17 determines the required fertilizer application rate. Hereinafter, the process of the predicted temperature information generation unit 13 when the predicted temperature information is generated and stored in the predicted temperature information storage unit 23 will be described in detail.
予想気温情報生成部13は、ネットワークNを介して所定のサーバーと通信し、当該所定のサーバーから、対象登熟期に属する各日の日平均気温の予想値を取得する。当該所定のサーバーは、将来の一定範囲について、「日」毎に、日平均気温の予想値を提供するサーバーである。対象登熟期が属する日にちは、ユーザーにより事前に登録される。予想気温情報生成部13は、取得した日平均気温の予想値のそれぞれを平均して「対象登熟期の予想気温」を算出し、算出した対象登熟期の予想気温を示す予想気温情報を生成し、予想気温情報記憶部23に記憶する。 The predicted temperature information generation unit 13 communicates with a predetermined server via the network N to acquire the predicted value of the daily average temperature of each day belonging to the target ripening period from the predetermined server. The predetermined server is a server that provides an expected value of the daily average temperature for each "day" for a certain range in the future. The date to which the target ripening period belongs is registered in advance by the user. The expected temperature information generation unit 13 averages each of the obtained expected values of the average daily temperature to calculate the “estimated temperature of the target ripening period”, and obtains the estimated temperature information indicating the calculated expected temperature of the target ripening period. It is generated and stored in the expected temperature information storage unit 23.
なお、予想気温情報生成部13が対象登熟期の予想気温を算出する方法は、本実施形態で例示する方法以外の方法であってもよい。例えば、ユーザーが所定の方法で予想気温を算出し、予想気温情報生成部13に入力するようにしてもよい。また、予想気温の算出にあたって、対象登熟期において予想される天候(雨が多いや、台風が来る等)等の気象条件を加味するようにしてもよい。 The method of calculating the predicted temperature of the target ripening period by the predicted temperature information generation unit 13 may be a method other than the method exemplified in this embodiment. For example, the user may calculate the predicted temperature by a predetermined method and input it to the predicted temperature information generation unit 13. Further, in calculating the expected temperature, weather conditions such as the weather expected in the target ripening period (such as a lot of rain or a typhoon may come) may be taken into consideration.
植生指数情報取得部15は、施肥量決定部17からの要求に応じて、植生指数情報記憶部22に記憶された植生指数情報を取得する。植生指数情報取得部15は、取得した植生指数情報を施肥量決定部17に出力する。 The vegetation index information acquisition unit 15 acquires the vegetation index information stored in the vegetation index information storage unit 22 in response to a request from the fertilizer application determination unit 17. The vegetation index information acquisition unit 15 outputs the acquired vegetation index information to the fertilizer application determination unit 17.
予想気温情報取得部16は、施肥量決定部17からの要求に応じて、予想気温情報記憶部23に記憶された予想気温情報を取得する。予想気温情報取得部16は、取得した予想気温情報を施肥量決定部17に出力する。 The predicted temperature information acquisition unit 16 acquires the predicted temperature information stored in the predicted temperature information storage unit 23 in response to a request from the fertilizer application determination unit 17. The predicted temperature information acquisition unit 16 outputs the acquired predicted temperature information to the fertilizer application rate determination unit 17.
施肥量関連情報取得部14は、施肥量決定部17からの要求に応じて、施肥量関連情報記憶部21に記憶された施肥量関連情報データベース21aにアクセスし、適切な施肥量算出式K1を取得する。施肥量関連情報取得部14は、取得した施肥量算出式K1を施肥量決定部17に出力する。以下、適切な施肥量算出式K1を取得するときの施肥量関連情報取得部14の処理について詳述する。 The fertilizer amount related information acquisition unit 14 accesses the fertilizer amount related information database 21a stored in the fertilizer amount related information storage unit 21 in response to the request from the fertilizer amount determination unit 17, and calculates an appropriate fertilizer amount calculation formula K1. get. The fertilization amount related information acquisition unit 14 outputs the acquired fertilization amount calculation formula K1 to the fertilization amount determination unit 17. Hereinafter, the process of the fertilization amount related information acquisition unit 14 when acquiring the appropriate fertilization amount calculation formula K1 will be described in detail.
後述するように、施肥量決定部17は、施肥量関連情報取得部14に対して、目標値情報、および、予想気温情報を通知すると共に、施肥量算出式K1の取得を要求する。目標値情報とは、詳細は後述するが、ユーザーが指定した特定白未熟粒歩合の目標値を示す情報である。この要求に応じて、施肥量関連情報取得部14は、施肥量関連情報記憶部21に記憶された施肥量関連情報データベース21aにアクセスする。 As will be described later, the fertilizer application rate determination unit 17 notifies the fertilizer application related information acquisition unit 14 of the target value information and the expected temperature information, and requests the fertilizer application information calculation formula K1 to be acquired. The target value information, which will be described in detail later, is information indicating the target value of the specific white immature grain ratio designated by the user. In response to this request, the fertilizer amount related information acquisition unit 14 accesses the fertilizer amount related information database 21a stored in the fertilizer amount related information storage unit 21.
施肥量関連情報取得部14は、施肥量関連情報データベース21aに記憶されている施肥量算出式K1のうち、通知された目標値情報の値の特定白未熟粒歩合の目標値と、通知された予想気温情報の値の対象登熟期の予想気温との組み合わせに対応付けられた施肥量算出式K1を特定し、取得する。ここで取得された施肥量算出式K1は、特許請求の範囲の「施肥量関連情報」に相当する。施肥量関連情報取得部14は、取得した施肥量算出式K1を施肥量決定部17に出力する。 The fertilizer amount related information acquisition unit 14 is notified of the target value of the specified white immature grain ratio of the notified target value information value in the fertilizer amount calculation formula K1 stored in the fertilizer amount related information database 21a. The fertilizer application calculation formula K1 associated with the combination of the value of the expected temperature information with the expected temperature of the target ripening period is specified and acquired. The fertilization amount calculation formula K1 acquired here corresponds to "fertilization amount related information" in the claims. The fertilization amount related information acquisition unit 14 outputs the acquired fertilization amount calculation formula K1 to the fertilization amount determination unit 17.
施肥量決定装置1の施肥量決定部17は、ユーザーの指示に応じて、必要施肥量を決定し、決定した必要施肥量を示す情報をユーザーに提供する。以下、施肥量決定部17の処理について詳述する。 The fertilizer application rate determination unit 17 of the fertilizer application rate determination device 1 determines the required fertilizer application rate according to the user's instruction and provides the user with information indicating the determined required fertilizer application rate. Hereinafter, the processing of the fertilizer application rate determination unit 17 will be described in detail.
追肥を行う予定のユーザーは、入力装置3を操作して、専用ユーザーインターフェース(以下、「専用UI」という)の表示を指示する。施肥量決定部17は、当該指示があったことを検出すると、施肥量決定部17は、表示装置2に専用UIを表示する。専用UIは、特定白未熟粒歩合の目標値を入力するためのユーザーインターフェースであり、特定白未熟粒歩合の目標値を入力する入力欄(例えば、目標値の候補が一覧表示されたプルダウンメニューから特定の目標値を選択することによって情報を入力可能な入力欄)が設けられている。ユーザーは、入力欄に目標値を入力し、所定の操作を行って入力を確定する。 The user who plans to add fertilizer operates the input device 3 to instruct the display of a dedicated user interface (hereinafter, referred to as “dedicated UI”). When the fertilization amount determination unit 17 detects that the instruction has been given, the fertilization amount determination unit 17 displays a dedicated UI on the display device 2. The dedicated UI is a user interface for inputting a target value of a specific white immature grain ratio, and an input field for inputting a target value of a specific white immature grain ratio (for example, from a pull-down menu in which target value candidates are displayed in a list. An input field is provided in which information can be entered by selecting a specific target value. The user inputs the target value in the input field and performs a predetermined operation to confirm the input.
入力欄への入力が確定したことを検出すると、施肥量決定部17は、入力欄に入力された目標値を示す目標値情報を生成する。また、施肥量決定部17は、植生指数情報取得部15に植生指数情報の取得を要求し、当該要求に応じて植生指数情報取得部15が取得した植生指数情報を入力する。また、施肥量決定部17は、予想気温情報取得部16に予想気温情報の取得を要求し、当該要求に応じて予想気温情報取得部16が取得した予想気温情報を入力する。 When it is detected that the input to the input field has been confirmed, the fertilizer application determination unit 17 generates target value information indicating the target value input to the input field. The fertilizer application rate determination unit 17 requests the vegetation index information acquisition unit 15 to acquire vegetation index information, and inputs the vegetation index information acquired by the vegetation index information acquisition unit 15 in response to the request. The fertilizer application rate determination unit 17 requests the expected temperature information acquisition unit 16 to obtain the expected temperature information, and inputs the expected temperature information obtained by the expected temperature information acquisition unit 16 in response to the request.
次いで、施肥量決定部17は、施肥量関連情報取得部14に対して、生成した目標値情報、および、予想気温情報取得部16から入力した予想気温情報を通知すると共に、施肥量算出式K1の取得を要求し、当該要求に応じて施肥量関連情報取得部14が取得した施肥量算出式K1を入力する。 Next, the fertilization amount determination unit 17 notifies the fertilization amount related information acquisition unit 14 of the generated target value information and the predicted temperature information input from the predicted temperature information acquisition unit 16, and also calculates the fertilization amount calculation formula K1. Of the fertilizer application amount, and inputs the fertilizer application formula K1 acquired by the fertilizer application related information acquisition unit 14 in response to the request.
施肥量算出式K1を入力した後、施肥量決定部17は、入力した施肥量算出式K1に、植生指数情報取得部15から入力した植生指数情報が示すNDVIを代入し、必要施肥量を算出する。ここで算出された必要施肥量は、図3を用いて説明した通り、特定白未熟粒歩合の目標値が同じであれば、対象登熟期の予想気温にかかわらず、追肥時のNDVIが小さいほど、値が大きくなっている。また、ここで算出された施肥量は、特定白未熟粒歩合の目標値が同じ場合において、NDVIが同じ値の場合には、対象登熟期の予想気温の値が大きいほど値が大きくなっている。 After inputting the fertilization amount calculation formula K1, the fertilization amount determination unit 17 substitutes the NDVI indicated by the vegetation index information input from the vegetation index information acquisition unit 15 into the input fertilization amount calculation formula K1 to calculate the required fertilization amount. To do. As described with reference to FIG. 3, if the target value of the specific white immature grain ratio is the same, the required fertilization amount calculated here has a small NDVI at the time of additional fertilization regardless of the expected temperature during the target ripening period. The higher the value. Further, when the target value of the specific white immature grain ratio is the same and the NDVI is the same value, the fertilizer application amount calculated here becomes larger as the value of the expected temperature during the target ripening period is larger. There is.
施肥量決定部17は、算出した必要施肥量を示す情報を、所定の態様で表示装置2に表示する。ここで表示装置2に表示された情報が示す必要施肥量は、特定白未熟粒歩合についてユーザーが指定した目標値を達成するために最低限必要な施肥量である。また、ここで表示装置2に表示された情報が示す必要施肥量は、収量の増大やタンパク質含有率の制御にも寄与する施肥量である。ユーザーは、提案された施肥量を参考にして、特定白未熟粒歩合を抑制するという観点で適切な施肥量の肥料を最終決定することが可能である。 The fertilizer application rate determination unit 17 displays information indicating the calculated required fertilizer application rate on the display device 2 in a predetermined manner. The required fertilization amount indicated by the information displayed on the display device 2 is the minimum required fertilization amount for achieving the target value specified by the user for the specific white immature grain ratio. In addition, the required fertilizer application amount indicated by the information displayed on the display device 2 here is the fertilizer application amount that contributes to the increase of the yield and the control of the protein content rate. The user can finally decide the fertilizer having an appropriate fertilization amount from the viewpoint of suppressing the specific white immature grain ratio by referring to the proposed fertilization amount.
以上詳しく説明したように、本実施形態では、施肥量決定部17は、追肥時にNDVIを示す植生指数情報、および、対象登熟期の予想気温を示す予想気温情報を取得し、更に、施肥量算出式K1(施肥量関連情報)を取得する。この施肥量算出式K1は、過去の実際の追肥時の施肥量、追肥時の植生指数、追肥後に到来した登熟期の気温、および、登熟期後に行われた収穫における特定白未熟粒歩合に基づいて生成された情報であり、登熟期の気温が所定温度であると予想される場合に特定白未熟粒歩合を目標値とするために追肥時に必要な施肥量に関する情報である。そして、施肥量決定部17は、施肥量算出式K1に基づいて、追肥時の施肥量を決定する。また本実施形態は、稲(農作物)の分析用画像データによる追肥時の植生に関する情報と、該農作物の登熟期または生育期の予想気温から施肥量を決定する方法を提供する。また、本実施形態は、植生に関する情報(本実施形態ではNDVI)が同じ場合には、予想気温の値が大きいほど施肥量を多くする方法を提供する。 As described above in detail, in the present embodiment, the fertilizer application rate determination unit 17 acquires the vegetation index information indicating NDVI at the time of additional fertilization and the expected temperature information indicating the expected temperature during the target ripening period, and further, the fertilizer application rate. The calculation formula K1 (information on fertilizer application amount) is acquired. This fertilizer application formula K1 is used to calculate the actual fertilizer application rate in the past, the vegetation index at the time of additional fertilization, the temperature during the ripening period that has arrived after the additional fertilization, and the specific white immature grain ratio in the harvest performed after the ripening period. It is information generated based on the above, and is information regarding the amount of fertilizer required at the time of additional fertilization in order to set the specific white immature grain ratio as the target value when the temperature during the ripening period is expected to be the predetermined temperature. Then, the fertilizer application rate determination unit 17 determines the fertilizer application rate at the time of additional fertilization based on the fertilizer application rate calculation formula K1. The present embodiment also provides a method for determining the amount of fertilizer applied based on the information about the vegetation at the time of additional fertilization based on the image data for analysis of rice (agricultural products) and the expected temperature during the ripening period or the growing period of the agricultural products. In addition, the present embodiment provides a method of increasing the fertilizer application amount as the value of the expected temperature is higher when the information on vegetation (NDVI in the present embodiment) is the same.
本実施形態によれば、過去の実際の施肥量と植生指数と登熟期の温度との関係がどのような関係であったかを反映して、特定白未熟粒歩合を目標値とするような施肥量を、追肥時の植生指数と登熟期の予想気温と組み合わせに応じて適切に決定することができる。つまり、本実施形態によれば、追肥時の施肥量、追肥時における植生指数および追肥後の登熟期の気温という玄米の外観品質・収量に影響を及ぼすことが判明した要素を考慮した新たな手法で適切な施肥量を決定することが可能である。 According to the present embodiment, the fertilization such that the specific white immature grain ratio is set as the target value, reflecting the relationship between the past actual fertilization amount, the vegetation index, and the temperature during the ripening period. The amount can be appropriately determined according to the combination of the vegetation index during topdressing and the expected temperature during the ripening period. In other words, according to the present embodiment, a new factor that takes into consideration factors that have been found to affect the appearance quality and yield of brown rice, such as the amount of fertilizer applied during topdressing, the vegetation index during topdressing, and the temperature during the ripening period after topdressing, has been considered. It is possible to determine the appropriate fertilizer application rate by the method.
以上、本発明の一実施形態を説明したが、上記実施形態は、本発明を実施するにあたっての具体化の一例を示したものに過ぎず、これによって本発明の技術的範囲が限定的に解釈されてはならないものである。すなわち、本発明はその要旨、またはその主要な特徴から逸脱することなく、様々な形で実施することができる。 Although one embodiment of the present invention has been described above, the above embodiment is merely an example of the embodiment for carrying out the present invention, and the technical scope of the present invention is thus interpreted in a limited manner. It should not be done. That is, the present invention can be implemented in various forms without departing from the gist or the main features thereof.
例えば、上記実施形態では、施肥量決定装置1は、施肥量関連情報記憶部21に記憶された施肥量関連情報データベース21aにより、特定白未熟粒歩合の目標値と登熟期の予想気温との組み合わせ毎に、追肥時のNDVIを代入して必要施肥量を算出するための施肥量算出式K1を記憶する構成であった。しかしながら、施肥量決定装置1が記憶する、必要施肥量を決定するために用いるデータの態様は、上記実施形態で例示したものに限らず、また、データの態様に応じて、施肥量関連情報取得部14が取得する施肥量関連情報の内容を変更可能である。 For example, in the above-described embodiment, the fertilizer application amount determination device 1 uses the fertilizer application information database 21a stored in the fertilizer application information storage unit 21 to calculate the target value of the specific white immature grain ratio and the expected temperature during the ripening period. For each combination, the fertilization amount calculation formula K1 for substituting the NDVI at the time of additional fertilization to calculate the required fertilization amount was stored. However, the form of data stored in the fertilizer application amount determination device 1 and used to determine the required fertilizer application amount is not limited to the example illustrated in the above embodiment, and the fertilizer application related information acquisition is performed according to the data form. The content of the fertilizer application amount related information acquired by the unit 14 can be changed.
一例として、施肥量関連情報データベース21aに代えて、特定白未熟粒歩合の目標値と登熟期の予想気温と追肥時のNDVIとの組み合わせ毎に、適切な必要施肥量を記憶するデータベースを記憶する構成としてもよい。なお、適切な必要施肥量とは、特定白未熟粒歩合の目標値と登熟期の予想気温と追肥時のNDVIとの組み合わせについて、重回帰分析の結果を踏まえて算出される施肥量である。この場合、施肥量関連情報取得部14が取得する施肥量関連情報は、当該データベースにおいて、目標値情報の値と植生指数情報の値と予想気温情報の値と組み合わせと対応付けられた必要施肥量を示す情報とすることができる。 As an example, instead of the fertilization amount related information database 21a, a database that stores an appropriate required fertilization amount for each combination of the target value of the specific white immature grain ratio, the expected temperature during the ripening period, and the NDVI during topdressing is stored. It may be configured to. The appropriate required fertilization amount is the fertilization amount calculated based on the results of multiple regression analysis for the combination of the target value of the specific white immature grain ratio, the expected temperature during the ripening period, and the NDVI during topdressing. .. In this case, the fertilization amount related information acquired by the fertilization amount related information acquisition unit 14 is the required fertilization amount associated with the combination of the value of the target value information, the value of the vegetation index information, and the value of the predicted temperature information in the database. Can be information indicating.
また、施肥量関連情報記憶部21、植生指数情報記憶部22および予想気温情報記憶部23は、施肥量決定装置1とは異なる外部記憶装置が有する構成でもよい。 Further, the fertilization amount related information storage unit 21, the vegetation index information storage unit 22, and the expected temperature information storage unit 23 may be included in an external storage device different from the fertilization amount determination device 1.
また、施肥量関連情報生成部11を、施肥量決定装置1とは異なる装置が有する構成でもよい。植生指数情報生成部12および予想気温情報生成部13についても同様である。 Further, the fertilization amount related information generating unit 11 may be included in a device different from the fertilization amount determination device 1. The same applies to the vegetation index information generation unit 12 and the predicted temperature information generation unit 13.
また、上記実施形態では、特定白未熟粒歩合の目標値をユーザーが指定する構成であったが、目標値を固定値としてもよい。 In the above embodiment, the user specifies the target value of the specific white immature grain ratio, but the target value may be a fixed value.
また、施肥量決定装置1を、クラウドサーバーとして構成し、ネットワークNを介してクライアントから必要施肥量の提供の要請があったときに、上述した手法で必要施肥量を算出し、クライアントに提供する構成としてもよい。 Further, the fertilizer application rate determination device 1 is configured as a cloud server, and when a client requests the provision of the required fertilizer application rate via the network N, the required fertilizer application rate is calculated by the above-described method and provided to the client. It may be configured.
また、上述した実施形態で説明した施肥量算出式K1の算出方法は、あくまで一例であり、他の方法で施肥量算出式K1を算出するようにしてもよい。例えば、目的変数を特定白未熟割合と関係が深い穂揃期の葉色(なお、穂揃期の葉色が濃いと基部未熟粒及び背白粒発生歩合が低下することが知られている)にしてもよい。また、目的変数を特定白未熟割合又は穂揃期の葉色にし、説明変数を追肥時の施肥量およびNDVIのみとして、施肥量算出式を作り、登熟期の予想気温が高い場合においてのみ、算出式に基づいて必要施肥量を算出し、施肥の際に参考にするようにしてもよい。 The method of calculating the fertilizer application amount calculation formula K1 described in the above embodiment is merely an example, and the fertilizer application amount calculation formula K1 may be calculated by another method. For example, the objective variable is set to a leaf color at the earing stage that is closely related to the specific white immaturity ratio (note that it is known that when the leaf color at the earring stage is dark, the rate of immature base grains and dorsal white grain generation decreases). Good. In addition, the target variable is set to the specific white immaturity rate or the leaf color at the heading stage, and the explanatory variables are set only to the fertilization amount at the time of additional fertilization and NDVI. The required fertilizer application amount may be calculated based on the formula, and may be referred to when fertilizing.
また、上述した実施形態では、施肥量決定装置1の植生指数情報生成部12が分析用画像データを分析して植生指数(NDVI)を算出し、植生指数情報取得部15が、その植生指数を取得する構成であった。しかしながら、植生指数情報取得部15が植生指数を取得する方法は上記実施形態で例示した方法に限られない。一例として、以下の方法で取得することも可能である。すなわち、水稲の生産現場において、ドローンを利用した撮影を専門的に行う業者が分析用画像データを取得して、それをネットワークN上の所定のサーバーにアップする。それを、別の主体が解析して植生指数を算出し、それをネットワークNを介した通信により取得する構成でもよい。 Further, in the above-described embodiment, the vegetation index information generation unit 12 of the fertilizer application determination device 1 analyzes the image data for analysis to calculate the vegetation index (NDVI), and the vegetation index information acquisition unit 15 calculates the vegetation index. It was a configuration to acquire. However, the method for the vegetation index information acquisition unit 15 to acquire the vegetation index is not limited to the method exemplified in the above embodiment. As an example, it is also possible to acquire by the following method. That is, at a paddy rice production site, a trader who specializes in photographing using a drone acquires the analysis image data and uploads it to a predetermined server on the network N. The configuration may be such that another subject analyzes it to calculate a vegetation index and acquires it by communication via the network N.
また、上述した実施形態では、植生指数情報取得部15が取得する情報は、植生指数(より具体的にはNDVI)を示す情報であった。つまり、上述した実施形態では、「植生指数(NDVI)を示す情報」が、特許請求の範囲の「植生に関する情報」に相当した。しかしながら、植生指数情報取得部15が取得する情報は、植生指数(NDVI)を示す情報に限らない。すなわち、植生に関する情報であり、施肥量算出式K1の算出に用いることができる情報であればよい。 Further, in the above-described embodiment, the information acquired by the vegetation index information acquisition unit 15 is information indicating the vegetation index (more specifically, NDVI). That is, in the above-described embodiment, “information indicating a vegetation index (NDVI)” corresponds to “information about vegetation” in the claims. However, the information acquired by the vegetation index information acquisition unit 15 is not limited to the information indicating the vegetation index (NDVI). That is, any information can be used as long as it is information about vegetation and can be used to calculate the fertilizer application calculation formula K1.
また、上述した実施形態では、品質に関しては、玄米の“外観”品質に着目し、当該外観品質の劣化を抑制する(より具体的には、特定白未熟粒歩合を抑制する)ような施肥量を決定した。しかしながら、品質は、外観品質だけを施肥量の決定にあたって考慮する対象とするのではなく、外観品質に加えてまたは外観品質に代えてタンパク質含有率といった玄米の成分の品質を考慮する対象としてもよい。すなわち、特許請求の範囲の「収穫される稲の状態」は、特定白未熟粒歩合に限られるものではなく、追肥時の施肥量と、追肥時における植生に関する情報と、追肥後の登熟期の気温とによって影響を受ける「稲の状態」であればよい。例えば、「収穫される稲の状態」は、タンパク質含有率のような成分の品質を加味した状態であってもよく、成分の品質のみに着目した状態であってもよく、収量を加味した状態であってもよく、収量のみに着目した状態であってもよい。すなわち、追肥時の施肥量と、追肥時における植生に関する情報と、追肥後の登熟期の気温とは、収量やタンパク質含有率の適正度に影響を及ぼしており、追肥時の植生に関する情報と登熟期の予想気温との組み合わせに応じて施肥量を調整することにより、収穫される稲の収量やタンパク質含有率の適正度を向上させることが可能である。なお、窒素施肥量が多いと、タンパク質含有率が上がり、タンパクと関係の深い食味が低下することが知られており、生産現場では、タンパク質含有率を抑えつつ、品質・収量を向上させることが求められている。また、例えば、「収穫される稲の状態」は、「倒伏」(収穫前に植物体が倒れてしまい収穫が困難になること)に関連する状態(例えば、圃場全体に占める倒伏した稲の割合や圃場全体の稲が倒伏する角度)であってもよい。すなわち、追肥時の施肥量と、追肥時における植生に関する情報と、追肥後の登熟期の気温とは、倒伏に関連する状態に影響を及ぼしており、追肥時の植生に関する情報と登熟期の予想気温との組み合わせに応じて施肥量を調整することにより、倒伏に関連する状態を向上させる(例えば、倒伏する割合を減少させる)ことが可能である。 Further, in the above-described embodiment, regarding the quality, the amount of fertilizer applied is focused on the "appearance" quality of brown rice and the deterioration of the appearance quality is suppressed (more specifically, the specific white immature grain ratio is suppressed). It was determined. However, as for quality, not only the appearance quality is taken into consideration in the determination of the fertilizer application amount, but the quality of brown rice components such as protein content may be taken into consideration in addition to the appearance quality or instead of the appearance quality. .. That is, the "state of harvested rice" in the claims is not limited to the specific white immature grain ratio, but the amount of fertilizer applied during topdressing, information on vegetation during topdressing, and the ripening period after topdressing. It may be "rice condition" that is affected by the temperature of. For example, the “state of harvested rice” may be a state in which the quality of ingredients such as protein content is taken into consideration, or a state in which only the quality of ingredients is focused, and the state in which the yield is taken into consideration. Alternatively, it may be a state in which only the yield is focused. That is, the amount of fertilizer applied during topdressing, information about vegetation during topdressing, and the temperature during the ripening period after topdressing have an influence on the appropriateness of yield and protein content, and information about vegetation during topdressing. By adjusting the amount of fertilizer applied according to the combination with the expected temperature during the ripening period, it is possible to improve the yield of the harvested rice and the appropriateness of the protein content. It is known that when the amount of nitrogen fertilization is large, the protein content increases, and the taste closely related to protein deteriorates. Therefore, it is possible to suppress the protein content and improve the quality and yield at the production site. It has been demanded. In addition, for example, the “state of harvested rice” is related to the state of “falling over” (the plant collapses before harvesting, making it difficult to harvest) (for example, the proportion of the overgrown rice in the entire field). Or the angle at which the rice in the entire field falls down). In other words, the amount of fertilizer applied during topdressing, information about vegetation during topdressing, and the temperature during the ripening period after topdressing affect the state related to lodging. It is possible to improve the state related to lodging (for example, to reduce the rate of lodging) by adjusting the amount of fertilizer applied according to the combination with the expected temperature.
また、上述した実施形態は稲に関するものであるが、本発明に係る施肥量決定装置および施肥量決定方法は稲に限定したものではなく、他の農作物、例えば小麦、大麦又は大豆等の穀物や野菜や果物等植物などであれば同様に用いることが可能である。すなわち、他の農作物も追肥時の農作物の群落についての植生に関する情報および追肥後の登熟期または生育期の予想気温を取得すると共に、過去の実際の追肥時の施肥量、追肥時の植生に関する情報、追肥後に到来した登熟期や生育期の気温、および、登熟期後や生育期後に収穫された農作物の状態に基づいて生成された、登熟期または生育期の気温が所定温度であると予想される場合に農作物の状態を目標の状態とするために追肥時に必要な施肥量に関する施肥量関連情報を取得し、取得した各情報に基づいて、施肥量を決定することで、収穫される農作物の状態を向上させることができるので、稲と同様に本発明に係る施肥量決定装置および施肥量決定方法を用いることができる。具体的には、例えば、小麦、大麦、大豆の場合にも、前述の稲の外観品質である「白未熟粒」に対応する外観品質をそれぞれ定義することや、タンパク質含有率のような成分の品質を加味したものや、収量などをそれぞれ定義することが可能であり、これらを向上させるのに本発明が利用できる。 Further, although the above-described embodiment relates to rice, the fertilizer application rate determining device and the fertilizer application rate determining method according to the present invention are not limited to rice, and other agricultural crops such as wheat, barley or soybean grains and the like. Any plant such as vegetables and fruits can be similarly used. That is, other crops also obtain information on vegetation about crop communities during topdressing and the expected temperature during the ripening period or growth period after topdressing, as well as the actual amount of fertilizer applied during topdressing in the past and vegetation during topdressing. The temperature during the ripening or growing season, which is generated based on information, the temperature during the ripening or growing season that has arrived after topdressing, and the state of the crops that have been harvested after the ripening or after the growing season, is at the specified temperature. If it is expected that there is fertilization amount related information regarding the amount of fertilization required at the time of additional fertilization to set the state of the crop as the target state, and by determining the fertilization amount based on each acquired information, the harvest Since it is possible to improve the condition of the crops to be used, the fertilizer application rate determining apparatus and the fertilizer application rate determining method according to the present invention can be used similarly to rice. Specifically, for example, in the case of wheat, barley, and soybean, the appearance quality corresponding to the "white immature grain", which is the appearance quality of rice described above, can be defined respectively, and components such as protein content can be defined. It is possible to define things such as quality and yield, and the present invention can be used to improve these.
例えば、これを「麦」の「収量」に対して示すのが図5である。図5は稲における図3と同様のものである。すなわち、麦類の収量目標値が共通である場合において、対象登熟期の予想気温の3つの例毎に、施肥量算出式K1によって表される追肥時のNDVIと必要施肥量との関係を示す図である。図5の各図では、横軸にNDVIを取り、縦軸に必要施肥量(単位は、Nkg/10a)を取ったグラフによって追肥時のNDVIと必要施肥量との関係を示している。図5(A)の対象登熟期の予想気温は「14℃」であり、図5(B)の対象登熟期の予想気温は「17℃」であり、図5(C)の対象登熟期の予想気温は「20℃」である。 For example, FIG. 5 shows this with respect to the "yield" of "wheat". Figure 5 is similar to Figure 3 for rice. That is, in the case where the yield target value of wheat is common, the relationship between the NDVI at the time of additional fertilization and the required fertilization amount represented by the fertilization amount calculation formula K1 is shown for each of the three examples of the expected temperature during the target ripening period. FIG. In each figure of FIG. 5, a graph in which NDVI is plotted on the horizontal axis and the required fertilizer application amount (unit: Nkg / 10a) is plotted on the vertical axis, shows the relationship between NDVI at the time of additional fertilization and the required fertilizer application amount. The expected temperature during the target ripening period in FIG. 5 (A) is “14 ° C.”, and the expected temperature during the target ripening period in FIG. 5 (B) is “17 ° C.”. The expected temperature at maturity is "20 ° C".
図5の各図から明らかな通り、収量目標値が同じであれば、対象登熟期の予想気温にかかわらず、追肥時のNDVIが小さいほど、必要施肥量は大きい。これは、上述の稲の場合と同様に、玄米タンパク質の不足が収量低下に影響しており、NDVIが小さいと想定される場合には、施肥量を大きくして窒素栄養状態を良好化することにより、収量低下の低減に寄与することが理由の1つである。 As is clear from each figure in FIG. 5, if the target yield value is the same, the smaller the NDVI at the time of additional fertilization, the larger the required fertilizer application amount, regardless of the expected temperature during the target ripening period. This is because, as in the case of the above-mentioned rice, the lack of brown rice protein affects the yield reduction, and when NDVI is assumed to be small, the fertilizer application amount should be increased to improve the nitrogen nutrition state. This is one of the reasons why it contributes to the reduction of yield decrease.
また、図5の各図から明らかな通り、麦類の収量目標値が同じ場合において、NDVIが同じ値の場合には、対象登熟期の予想気温の値が大きいほど必要施肥量が大きくなる。例えば、対象登熟期の予想気温が「14℃」である図5(A)では、NDVIが「0.7」のときの必要施肥量は「A値」であり、対象登熟期の予想気温が「17℃」である図5(B)では、NDVIが「0.7」のときの必要施肥量は「B値」(>「A値」)であり、対象登熟期の予想気温が「20℃」である図5(C)では、NDVIが「0.7」のときの必要施肥量は「C値」(>「B値」)である。これは、対象登熟期の気温と、追肥時の施肥量とには関連があり、対象登熟期の気温が高い場合には、追肥時の施肥量を多くすることにより、収量低下を低減することが可能であることが理由の1つである。 Further, as is clear from the respective diagrams of FIG. 5, when the target value of wheat yield is the same and the value of NDVI is the same, the required fertilization amount increases as the value of the expected temperature during the target ripening period increases. .. For example, in FIG. 5 (A) in which the expected temperature during the target ripening period is “14 ° C.”, the required fertilization amount when the NDVI is “0.7” is the “A value”, and the target ripening period is predicted. In FIG. 5 (B) where the temperature is “17 ° C.”, the required fertilization amount when NDVI is “0.7” is “B value” (> “A value”), and the expected temperature during the target ripening period is In FIG. 5 (C) where is 20 ° C., the required fertilizer application amount when NDVI is “0.7” is “C value” (> “B value”). This is related to the temperature during the target ripening period and the amount of fertilizer applied during topdressing. When the temperature during the target ripening period is high, the decrease in yield is reduced by increasing the amount of fertilizer applied during topdressing. One of the reasons is that it is possible to do.
このように農作物の分析用画像データによる追肥時の植生に関する情報が同じ場合には、対象登熟期または対象生育期の温度が高い(高いと予想される)場合に、追肥時の施肥量を多くすることにより、品質低下や収量低下を低減することが可能である点については、前述のとおり稲の場合も同様であり、農作物であれば一般的にいえることを発明者らは見出した。 In this way, when the information on the vegetation during topdressing is the same based on the image data for analysis of crops, the fertilizer application rate during topdressing is determined when the temperature during the target ripening period or the target growing season is high (expected to be high). The inventors have found that it is possible to reduce the quality deterioration and the yield decrease by increasing the amount in the same manner as in the case of rice as described above, and it can be generally said that it is an agricultural crop.
なお、必要追肥量をY、NDVI値をxとすると、例えば施肥量算出式K1は、図5(A)の場合「Y = -20x +16」、図5(B)の場合「Y = -20x +17」、図5(C)の場合「Y = -20x +17」と示すことができる。ただし、施肥量算出式K1はこのような1次式に限られない。NDVI値及び登熟期の気温から適切な必要追肥量を求めることができれば如何なる式でも該当し得る。 When the required additional fertilizer amount is Y and the NDVI value is x, for example, the fertilization amount calculation formula K1 is “Y = −20x + 16” in the case of FIG. 5 (A) and “Y = −x” in the case of FIG. 5 (B). 20x + 17 ", and in the case of FIG. 5C, it can be shown as" Y = -20x + 17 ". However, the fertilizer application calculation formula K1 is not limited to such a linear formula. Any formula can be applied as long as an appropriate required additional fertilizer amount can be obtained from the NDVI value and the temperature during the ripening period.
また、施肥量決定装置1は、単体のコンピューターである必要はなく、複数のコンピューターにより構成されていてもよい。例えば、インターネットを介して接続された端末とクラウドサーバーとが協働して施肥量決定装置1として機能し、端末が適宜クラウドサーバーと協同して処理を実行する構成でもよい。 Further, the fertilizer application rate determination device 1 does not have to be a single computer, and may be composed of a plurality of computers. For example, the terminal connected via the Internet and the cloud server may function as the fertilizer application determination device 1 in cooperation with each other, and the terminal may appropriately cooperate with the cloud server to execute the process.
1 施肥量決定装置
14 施肥量関連情報取得部
15 植生指数情報取得部(植生関連情報取得部)
16 予想気温情報取得部
17 施肥量決定部
1 Fertilizer amount determination device 14 Fertilizer amount related information acquisition unit 15 Vegetation index information acquisition unit (vegetation related information acquisition unit)
16 Expected temperature information acquisition unit 17 Fertilizer amount determination unit
Claims (13)
農作物の植生に関する情報を取得する植生関連情報取得部と、
前記農作物の登熟期または生育期の予想気温を示す予想気温情報を取得する予想気温情報取得部と、
過去の実際の追肥時の施肥量、追肥時の植生に関する情報、追肥後に到来した登熟期または生育期の気温、および、登熟期後または生育期後に収穫された前記農作物の状態に基づいて生成された情報であって、追肥時の植生に関する情報が所定の状態であり、かつ、登熟期または生育期の気温が所定温度であると予想される場合に、収穫される前記農作物の状態を目標の状態とするために追肥時に必要な施肥量に関する施肥量関連情報を取得する施肥量関連情報取得部と、
前記植生関連情報取得部により取得された植生に関する情報、前記予想気温情報取得部により取得された前記予想気温情報、および、前記施肥量関連情報取得部により取得された前記施肥量関連情報に基づいて、収穫される前記農作物の状態を目標の状態とするために追肥時に必要な施肥量を決定する施肥量決定部と、を備えることを特徴とする施肥量決定装置。 A fertilization amount determination device for determining the fertilization amount during topdressing,
A vegetation-related information acquisition unit that acquires information on vegetation of agricultural products,
An expected temperature information acquisition unit that acquires expected temperature information indicating an expected temperature during the ripening period or the growing season of the crop,
Based on past actual fertilizer application rate, information on vegetation during topdressing, temperature during the ripening or growing season that arrived after topdressing, and the state of the crop harvested after the ripening or after the growing season The generated information, the information about the vegetation at the time of additional fertilization is in a predetermined state, and when the temperature during the ripening period or the growing season is expected to be a predetermined temperature, the state of the crop harvested A fertilization amount related information acquisition unit that acquires the fertilization amount related information regarding the fertilization amount required at the time of additional fertilization to make the target state,
Based on the information about the vegetation acquired by the vegetation related information acquisition unit, the estimated temperature information acquired by the estimated temperature information acquisition unit, and the fertilization amount related information acquired by the fertilizer amount related information acquisition unit A fertilizer application rate determination device, comprising: a fertilizer application rate determination unit that determines an applied rate of fertilization required for additional fertilization in order to set the state of the harvested crop to a target state.
前記施肥量関連情報取得部は、前記施肥量関連情報として、過去の実際の追肥時の施肥量、追肥時の植生指数、追肥後に到来した登熟期または生育期の気温、および、登熟期後または生育期後に行われた収穫における低外観品質の前記農作物の割合である低品質割合に基づいて生成された情報であって、追肥時の植生指数が所定値であり、かつ、登熟期または生育期の気温が所定温度であると予想される場合に、前記低品質割合を目標値とするために追肥時に必要な施肥量に関する前記施肥量関連情報を取得し、
前記施肥量決定部は、前記植生関連情報取得部により取得された植生指数を示す情報、前記予想気温情報取得部により取得された前記予想気温情報、および、前記施肥量関連情報取得部により取得された前記施肥量関連情報に基づいて、前記低品質割合を目標値とするために追肥時に必要な施肥量を決定する
ことを特徴とする請求項1から3の何れか1項に記載の施肥量決定装置。 The vegetation-related information acquisition unit acquires information indicating a vegetation index as information on vegetation,
The fertilization amount related information acquisition unit, as the fertilization amount related information, the past fertilization amount at the time of actual additional fertilization, the vegetation index at the time of additional fertilization, the temperature of the ripening period or growth period that has arrived after additional fertilization, and the ripening period. The information generated based on the low quality ratio, which is the ratio of the crops of low appearance quality in the harvest performed after or after the growing season, the vegetation index at the time of topdressing is a predetermined value, and the ripening period. Or when the temperature of the growing season is expected to be a predetermined temperature, to obtain the fertilization amount related information on the fertilization amount required at the time of additional fertilization to set the low quality ratio as a target value,
The fertilization amount determination unit, information indicating the vegetation index acquired by the vegetation related information acquisition unit, the estimated temperature information acquired by the predicted temperature information acquisition unit, and acquired by the fertilization amount related information acquisition unit The fertilizer application amount according to any one of claims 1 to 3, wherein the fertilizer application amount required at the time of additional fertilization in order to set the low quality ratio to a target value is determined based on the fertilizer application amount related information. Decision device.
前記低品質割合の目標値が同じ場合において、植生指数が同じ場合には、登熟期または生育期の予想気温が大きいほど量が大きくなるように、追肥時の施肥量を決定する
ことを特徴とする請求項4に記載の施肥量決定装置。 The fertilizer amount determination unit,
When the target value of the low quality ratio is the same and the vegetation index is the same, the fertilizer application amount at the time of additional fertilization is determined such that the larger the expected temperature during the ripening period or the growing season is, the larger the amount is. The fertilizer application amount determination device according to claim 4.
過去の実際の追肥時の施肥量、追肥時の植生指数、追肥後に到来した登熟期または生育期の気温、および、登熟期後または生育期後に行われた収穫における前記低品質割合について、前記低品質割合を目的変数とし、追肥時の施肥量、追肥時の植生指数および登熟期の気温を説明変数とする重回帰分析を行って算出された重回帰式を利用して生成された情報である
ことを特徴とする請求項4または5に記載の施肥量決定装置。 The fertilization amount related information is
About the amount of fertilizer applied at the time of actual topdressing in the past, the vegetation index at the time of topdressing, the temperature during the ripening period or the growing season that has arrived after topdressing, and the low quality ratio in the harvest performed after the ripening period or after the growing season, It was generated by using the multiple regression equation calculated by performing multiple regression analysis with the low quality ratio as an objective variable, the fertilization rate during topdressing, the vegetation index during topdressing and the temperature during the ripening period as explanatory variables. It is information. The fertilizer application amount determination device according to claim 4 or 5 characterized by things.
前記予想気温情報取得部は、稲の登熟期の予想気温を示す前記予想気温情報を取得し、
前記施肥量関連情報取得部は、過去の実際の追肥時の施肥量、追肥時の植生に関する情報、追肥後に到来した登熟期の気温、および、登熟期後に収穫された稲の状態に基づいて生成された情報であって、追肥時の植生に関する情報が所定の状態であり、かつ、登熟期の気温が所定温度であると予想される場合に、収穫される稲の状態を目標の状態とするために追肥時に必要な施肥量に関する前記施肥量関連情報を取得し、
前記施肥量決定部は、前記植生関連情報取得部により取得された植生に関する情報、前記予想気温情報取得部により取得された前記予想気温情報、および、前記施肥量関連情報取得部により取得された前記施肥量関連情報に基づいて、収穫される稲の状態を目標の状態とするために追肥時に必要な施肥量を決定する
ことを特徴とする請求項1に記載の施肥量決定装置。 The vegetation-related information acquisition unit acquires information about vegetation obtained by remote sensing of rice communities,
The predicted temperature information acquisition unit acquires the predicted temperature information indicating the predicted temperature during the ripening period of rice,
The fertilization rate related information acquisition unit is based on the past actual fertilization rate during topdressing, information about vegetation during topdressing, the temperature during the ripening period that has arrived after topdressing, and the state of the rice harvested after the ripening period. If the information about the vegetation during topdressing is in a predetermined state and the temperature during the ripening period is expected to be a predetermined temperature, the target is the state of the harvested rice. Acquire the fertilization amount related information about the fertilization amount required at the time of additional fertilization to be in a state,
The fertilizer amount determination unit, the vegetation information acquired by the vegetation related information acquisition unit, the predicted temperature information acquired by the predicted temperature information acquisition unit, and the fertilization amount related information acquisition unit acquired by the The fertilizer application amount determination device according to claim 1, wherein the fertilizer application amount determination device determines a fertilizer application amount required at the time of additional fertilization in order to set the state of the harvested rice to a target state, based on the fertilizer application amount related information.
前記施肥量関連情報取得部は、前記施肥量関連情報として、過去の実際の追肥時の施肥量、追肥時の植生指数、追肥後に到来した登熟期の気温、および、登熟期後に行われた収穫における低外観品質の玄米の割合である低品質割合に基づいて生成された情報であって、追肥時の植生指数が所定値であり、かつ、登熟期の気温が所定温度であると予想される場合に、前記低品質割合を目標値とするために追肥時に必要な施肥量に関する前記施肥量関連情報を取得し、
前記施肥量決定部は、
前記植生関連情報取得部により取得された植生指数を示す情報、前記予想気温情報取得部により取得された前記予想気温情報、および、前記施肥量関連情報取得部により取得された前記施肥量関連情報に基づいて、前記低品質割合を目標値とするために追肥時に必要な施肥量を決定する施肥量決定部
ことを特徴とする請求項7に記載の施肥量決定装置。 The vegetation-related information acquisition unit acquires information indicating a vegetation index as information on vegetation,
The fertilization amount related information acquisition unit, as the fertilization amount related information, the past fertilization amount during actual additional fertilization, the vegetation index at the time of additional fertilization, the temperature of the ripening period that has arrived after additional fertilization, and performed after the ripening period. Information generated based on the low quality ratio which is the ratio of low appearance quality brown rice in harvesting, when the vegetation index at the time of additional fertilization is a predetermined value, and the temperature during the ripening period is a predetermined temperature. If expected, to obtain the fertilization amount related information regarding the fertilization amount required at the time of additional fertilization to set the low quality ratio as a target value,
The fertilizer amount determination unit,
Information indicating the vegetation index acquired by the vegetation related information acquisition unit, the predicted temperature information acquired by the predicted temperature information acquisition unit, and the fertilization amount related information acquired by the fertilization amount related information acquisition unit The fertilization amount determination unit according to claim 7, further comprising: a fertilization amount determination unit that determines a fertilization amount required at the time of additional fertilization in order to set the low quality ratio as a target value.
前記低品質割合の目標値が同じ場合において、植生指数が同じ場合には、登熟期の予想気温が大きいほど量が大きくなるように、追肥時の施肥量を決定する
ことを特徴とする請求項8に記載の施肥量決定装置。 The fertilizer amount determination unit,
When the target value of the low quality ratio is the same and the vegetation index is the same, the fertilizer application amount during topdressing is determined such that the amount increases as the expected temperature during the ripening period increases. Item 14. The fertilizer application amount determination device according to item 8.
過去の実際の追肥時の施肥量、追肥時の植生指数、追肥後に到来した登熟期の気温、および、登熟期後に行われた収穫における前記低品質割合について、前記低品質割合を目的変数とし、追肥時の施肥量、追肥時の植生指数および登熟期の気温を説明変数とする重回帰分析を行って算出された重回帰式を利用して生成された情報である
ことを特徴とする請求項8または9に記載の施肥量決定装置。 The fertilization amount related information is
For the actual amount of fertilizer applied during actual topdressing in the past, the vegetation index during topdressing, the temperature during the ripening period that arrived after topdressing, and the low quality ratio in the harvest performed after the ripening period, the low quality ratio was the objective variable. The information is generated using a multiple regression equation calculated by performing a multiple regression analysis using the fertilizer application amount during topdressing, the vegetation index during topdressing and the temperature during the ripening period as explanatory variables. The fertilizer application amount determination device according to claim 8 or 9.
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