JPH0779681A - Detection of plant of different kind and method for exterminating weed by using the detection method - Google Patents

Detection of plant of different kind and method for exterminating weed by using the detection method

Info

Publication number
JPH0779681A
JPH0779681A JP18191593A JP18191593A JPH0779681A JP H0779681 A JPH0779681 A JP H0779681A JP 18191593 A JP18191593 A JP 18191593A JP 18191593 A JP18191593 A JP 18191593A JP H0779681 A JPH0779681 A JP H0779681A
Authority
JP
Japan
Prior art keywords
weed
detecting
detection
weeds
different kind
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP18191593A
Other languages
Japanese (ja)
Other versions
JP3359702B2 (en
Inventor
Noriyuki Miwa
敬之 三輪
Hisao Mashita
尚男 真下
Shoji Nagarei
昇治 永礼
Satoshi Shinozaki
聡 篠崎
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mayekawa Manufacturing Co
Original Assignee
Mayekawa Manufacturing Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mayekawa Manufacturing Co filed Critical Mayekawa Manufacturing Co
Priority to JP18191593A priority Critical patent/JP3359702B2/en
Publication of JPH0779681A publication Critical patent/JPH0779681A/en
Application granted granted Critical
Publication of JP3359702B2 publication Critical patent/JP3359702B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

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  • Image Processing (AREA)
  • Soil Working Implements (AREA)
  • Catching Or Destruction (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

PURPOSE:To collectively exterminate different kind plants in a uniformly grown plant community by detecting the position of a different kind plant by chromaticity difference, etc., producing a data map of the different kind plant from the detection result and controlling the position of a weeding means by a position controlling mechanism. CONSTITUTION:The image picked up with a color CCD camera 1 used as a sensor for detecting a different kind plant by chromaticity difference, etc., is processed by an image processing unit 2 to prepare a data map specifying the position of the different kind plant. A weeding means such as a chemicals spraying apparatus 9 is two-dimensionally driven by stepping motors 5,6 by a computer 3 through an I/O 4 based on the data map. After completing a series of operation, a truck 10 is self-propelled by an AC motor and the similar operation is repeated.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明は、一様に生育中の植物群
中に存在する異種植物、特にゴルフ場の芝生中の雑草の
検出方法と該検出方法を用いた雑草駆除方法に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for detecting heterogeneous plants existing in a uniformly growing plant group, particularly weeds in the lawn of a golf course, and a method for controlling weeds using the method.

【0002】[0002]

【従来の技術】雑草検出方法に関しては、人間の目によ
る方法以外は、いまだ確立されていない。特に田畑や芝
生に発生する雑草駆除の方法は、現在までのところ、も
っぱら人手による方法と除草剤などによる化学的な方法
が用いられている。
2. Description of the Related Art Weed detection methods have not yet been established, except for the method by human eyes. In particular, as a method for controlling weeds that occur in fields and lawns, up to now, a manual method and a chemical method using a herbicide are mainly used.

【0003】上記人手に頼る方法は、特に最近の人手不
足の点からも問題があり、又、除草剤などによる化学的
な方法は、環境汚染の点、特にゴルフ場の場合、設置場
所が山間の水源地に近接した高原地帯を開発したものも
あるため、水質汚染の点でも重大な環境汚染に係わる社
会的問題を提供している。即ち、ゴルフ場で使用される
農薬には殺菌剤、除草剤、防虫剤があるが、殺菌剤とな
らんで除草剤の比率が大きい。これらの薬剤は極めて水
質汚濁性が強いため、上記のように各地で環境問題とな
っている。行政面でも国が1990年に使用農薬を規制
する暫定指針を設けたり、各自治体が農薬禁止や、国よ
り厳しい指針を設けるなど、農薬の使用が制限される方
向にある。しかしながら現状では、除草剤以外の駆除方
法は手作業しかなく、例えば、あるゴルフ場では、フェ
アウェイでは農薬による駆除を行ない、グリーンでは、
1ホールにつき約1週間かけて手作業による雑草駆除を
行なっている。この手作業による駆除も人件費の高騰、
作業者の高齢化、人手不足などの問題があり、この点か
らも雑草駆除の自動化が望まれている。
The above-mentioned method relying on human labor is problematic especially in view of the recent lack of labor, and the chemical method using a herbicide or the like is environmentally polluting, especially in the case of a golf course, the installation location is in the mountains. Some of them have developed a plateau area close to the water source of the country, which provides social problems related to serious environmental pollution in terms of water pollution. That is, although pesticides used in golf courses include fungicides, herbicides, and insect repellents, the ratio of herbicides is large in addition to fungicides. Since these chemicals have extremely strong water pollution properties, they are an environmental problem in various places as described above. In terms of administration, the government has set provisional guidelines to regulate the agricultural chemicals used in 1990, and local governments have banned agricultural chemicals and set stricter guidelines than the national government. However, at present, the only extermination method other than herbicides is manual work, for example, in one golf course, extermination with pesticides is performed on the fairway and on the green,
Weeds are exterminated by hand for about one week per hole. This manual extermination also raises labor costs,
There are problems such as the aging of workers and a shortage of manpower. From this point, automation of weed control is desired.

【0004】[0004]

【発明が解決しようとする課題】上記したように、従来
の雑草駆除は雑草を含む特定植物群に対し、除草剤を満
遍無く散布する方法を取っているため、非効率的であ
り、不必要な薬剤散布による特定植物群に対する薬害を
小さく取れば雑草駆除の効果は小さくなり、雑草駆除の
効果を十分にあげるためには特定植物群に対するある程
度の薬害も覚悟しなければならず、また、過大な環境汚
染の原因を形成することになる。そのため、前記特定植
物群の中における雑草の識別並びにその位置確認、雑草
位置への集中的除草剤の散布による効率的、且つ環境汚
染を最小に押さえることの出来る雑草駆除が求められて
いる。
As described above, the conventional weed control is inefficient because the herbicide is applied evenly to a specific plant group including weeds. If the phytotoxicity to the specific plant group by spraying the necessary chemicals is small, the effect of weed control will be small, and in order to sufficiently enhance the weed control effect, it is necessary to prepare for some phytotoxicity to the specific plant group. It will form the cause of excessive environmental pollution. Therefore, there is a demand for efficient weed control by identifying weeds in the specific plant group, confirming their positions, and spraying a concentrated herbicide to the weed positions, and minimizing environmental pollution.

【0005】ところで、ゴルフ場に使用される芝は、乾
燥や踏みつけにも強くまた強度の刈込みでも再生し、緑
を維持できることが要求されている。現在では主に、コ
ウライシバ、べントグラス、ペレニアルライグラス、ノ
シバの4種が植えられている。この5種類にはそれぞれ
特長があり、コウライシバは夏の暑さに強く、べントグ
ラスは冬の寒さに比較的強い特性を持っている。
By the way, turf used in golf courses is required to be resistant to dryness and trampling and to be regenerated even with strong cutting to maintain green. At present, four types of plants are mainly planted: Koroshishiba, Bentgrass, Perennial Ryegrass, and Noshiba. Each of these five types has its own characteristics: Korishishiba is resistant to summer heat and bentgrass is relatively resistant to winter cold.

【0006】又ゴルフ場における雑草は、プレーヤーの
目につきやすく美観を損うばかりでなく、ボールの転が
りにも悪影響与えるため、ゴルフ場側の保守管理のなか
でも、極めて重要な問題となっている。ゴルフ場を芝に
よって分類すると、グリーン、ティーグラウンド、フェ
アウェイに分けられる。フェアウェイにおいてよく見か
ける雑草は、スズメノカタビラ、タンポポ、オオバコ、
クローバー、メヒシバなどがある。またグリーンにおい
てよく見かける雑草は、ほとんどがスズメノカタビラで
ある。このスズメノカタビラは、春先から夏にかけて白
い小穂を付けるが、初秋から冬の間では芝の色と殆どそ
の差が見られない。本発明ではゴルフ場に最も多く分布
し、最も駆除が望まれているスズメノカタビラを主な対
象とした。
[0006] In addition, weeds on the golf course are not only noticeable to the player but impair the appearance, but also have a bad influence on the rolling of the ball, which is an extremely important problem in maintenance management on the golf course side. . Classifying golf courses by turf can be divided into greens, tees, and fairways. Weeds often seen on the fairway are Bluegrass, Dandelion, Plantain,
There are clovers, crabgrass and so on. Most of the weeds that are often seen in greens are Poa annua. Although this white-billed anemone has white spikelets from early spring to summer, there is almost no difference between the color of turf and grass from early autumn to winter. In the present invention, the major species, Plutella xylostella, which is most distributed in golf courses and which is most desired to be exterminated, is the main object.

【0007】本発明は、かかる技術的問題に鑑みなされ
たもので、田畑やゴルフ場、特にゴルフ場において、一
様に生え揃った芝生のような特定植物群の中に発生した
異種植物(スズメノカタビラ)の四季の変化につれて変
化する特徴に整合した検出方法を提供し、該検出方法の
使用により雑草位置のデータマップを作成して集中的且
つ効率的雑草駆除を可能とする雑草駆除方法を提供する
事を目的とするものである。
The present invention has been made in view of the above technical problems. In the fields, golf courses, and particularly golf courses, heterogeneous plants (Scutellaria baicalensis) occurring in a specific plant group such as lawns that are uniformly grown. The present invention provides a method for detecting weeds that is consistent with the characteristics that change with the change of the four seasons, and provides a weed control method that enables a concentrated and efficient weed control by creating a data map of weed positions by using the detection method. It is intended for the purpose.

【0008】[0008]

【問題を解決するための手段】本発明は、かかる技術的
課題を達成するために、考えられる雑草検出手段のそれ
ぞれが持つ特徴と、上記雑草(スズメノカタビラ)と芝
生との間の季節的に変化する識別特徴とを適宜組合せ、
効率よく雑草検出を可能にし、好ましくはスズメノカタ
ビラの場合、白い穂を付け非常に目立つ時期の検出もさ
ることながら、最もその駆除が効果的である雑草が成長
して大きな株となる秋から冬にかけての時期における検
出も可能にして、完全駆除が出来るようにする異種植物
検出方法を提案するものである。例えば、視覚による識
別が可能な、ゴルフ場のノシバが主として用いられてい
るフェアウェイやラフの冬期においては当該ノシバが枯
れてしまう時期における雑草の検出とか、または、ゴル
フ場のグリーンの春から夏にかけてのスズメノカタビラ
が白い穂を付ける時期においては、画像処理による検出
手段を用い、秋から冬にかけては、芝生とスズメノカタ
ビラとの間に含有水分の差が見かけられる時は、照射マ
イクロ波の反射電界による検出方法を用い、上記場合で
も朝露とか夜露の影響を受ける時、や含有水分の少なく
なる冬期等においては、触感の差を利用した触覚センサ
とか葉緑体における光の吸収の差をを利用した光検出セ
ンサによる雑草検出を用い、または、上記それぞれの長
短のある検出方法の組合せにより雑草の完全な検出を行
なうようにしたものである。
[Means for Solving the Problems] In order to achieve the above-mentioned technical object, the present invention has the characteristics of each of the possible weed detecting means, and the seasonal change between the above weeds (Sparrow grasshopper) and the lawn. Appropriate combination of identification features
It enables efficient weed detection, and in the case of Poa annua, it is effective to control the weeds while the white ears are attached to detect very noticeable periods. The present invention proposes a method for detecting a heterologous plant which enables detection at the time of, and enables complete control. For example, it is possible to visually identify, in the winter of rough roads and roughs, where the wild grass of the golf course is mainly used, the detection of weeds at the time of death of the wild grass, or from the spring to the summer of the green of the golf course. At the time when the white squirrel of A. annua produces white ears, a detection method by image processing is used, and when there is a difference in water content between the lawn and the stilt, from the autumn to the winter, detection by the reflected electric field of the irradiated microwave is used. Using the method, even in the above cases, when affected by morning dew or night dew, or in the winter when the water content is low, etc., a tactile sensor that uses the difference in tactile sensation or light that uses the difference in light absorption in chloroplasts Complete detection of weeds by using weed detection with a detection sensor or by combining each of the above long and short detection methods It is obtained to carry out.

【0009】また、請求項2記載の発明においては、雑
草検出手段と雑草駆除手段とを少なくとも二次元方向に
位置制御できる位置制御機構とを具え、前記検出手段に
より雑草位置を検出すると共に、前記検出データより雑
草位置のデータマツプを作成した後、雑草駆除時に前記
データマツプにより前記位置制御機構を制御して雑草駆
除手段を作動させることを特徴とする雑草駆除方法を提
案する。尚、雑草駆除手段とは農薬散布の他、高周波や
熱を照射して雑草を枯死する方法、機械的に雑草を除去
する手段をいう。
According to the second aspect of the present invention, the weed detection means and the weed control means are provided with a position control mechanism capable of controlling the position in at least two-dimensional directions, and the weed position is detected by the detection means. A weed extermination method is characterized in that a weed extermination means is operated by controlling the position control mechanism by the data map at the time of exterminating weeds after creating a data map of weed positions from the detected data. The weed exterminating means means a method of irradiating high frequency or heat to kill the weeds, and a means of mechanically removing the weeds in addition to spraying the pesticides.

【0010】[0010]

【作用】上記技術手段により、ほぼ一様に生育中の特定
植物群例えばゴルフ場に生え揃った芝生のなかに発生し
た異種の植物、例えばイネ科の芝生(ベントグラス)の
中に発生するスズメノカタビラの場合は、四季の変化に
対応して、春から夏にかけては視覚により識別できる
が、秋から冬及び冬期においては視覚によっては識別不
可能である。然し、上記春から夏にかけての視覚による
識別可能の時期においては、前記技術手段の画像処理の
手段により識別可能であり、また、秋から冬及び冬期に
おいては、前記技術手段の含有水分による電波の吸収を
利用した照射マイクロ波の反射電解強度の検出による検
出手段や触覚センサによる検出手段及び葉緑体による光
の吸収を利用した光センサによる検出手段により識別可
能になり、特に雑草の最も駆除を必要とする、雑草が成
長して大きな株となる秋から冬にかけての駆除が可能と
することが出来る。
By the above technical means, it is possible to control a plant group that is almost uniformly growing, for example, a heterogeneous plant generated in a lawn that grows on a golf course, for example, a grasshopper that grows in a grass (Bentgrass) of the grass family. In this case, it can be visually identified from spring to summer in response to changes in the four seasons, but cannot be visually identified from autumn to winter and winter. However, during the visually recognizable period from the spring to the summer, it is identifiable by the image processing means of the technical means, and in the autumn to winter and winter, the radio waves due to the water content of the technical means are identifiable. It becomes possible to identify by means of detection by detecting reflected electrolysis intensity of irradiation microwave using absorption, detection means by tactile sensor and detection means by optical sensor using absorption of light by chloroplasts, and especially weed control The required weeds can be exterminated from autumn to winter when weeds grow into large plants.

【0011】[0011]

【実施例】以下、図面を参照して本発明の公的な実施例
を例自適に詳しく説明する。但しこの実施例に記載され
ている構成部品の寸法、材質、形状、その相対的配置等
は特に特定的な記載が無いかぎりは、この発明の範囲を
それに限定する趣旨ではなく、単なる説明例にすぎな
い。図1〜図3には本発明の画像処理による検出方法の
実施例を示し、図4には照射マイクロ波による検出方法
の実施例を示し、図5〜図9には触覚センサによる検出
方法の実施例を示し、図10〜図12には光センサによ
る検出方法の実施例が示してある。
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, public embodiments of the present invention will be described in detail with reference to the drawings. However, unless otherwise specified, the dimensions, materials, shapes, relative positions, etc. of the components described in this embodiment are not intended to limit the scope of the present invention thereto, but are merely illustrative examples. Only. 1 to 3 show an embodiment of a detection method by image processing of the present invention, FIG. 4 shows an embodiment of a detection method by irradiation microwaves, and FIGS. 5 to 9 show a detection method by a tactile sensor. An example is shown, and FIGS. 10 to 12 show an example of a detection method using an optical sensor.

【0012】図1乃至図3に基づいて画像処理による本
発明の実施例に係る雑草検出方法とその駆除方法を説明
する。画像処理による雑草の検出は、雑草を視覚により
識別出来る時期に行うようにするため、色度差を利用し
た画像処理により構成してある。すなわち、芝部と雑草
部が顕著に分離されるRGBのR画像、G画像、B画像
について、それぞれ図1に示すヒストグラムを求める。
センサーにはカラーCCDカメラを用い、照明条件を一
定にするため、100(V),150(W)の白熱球を
使用し、装置を暗幕で覆ってある。CCDカメラにより
70×70(cm)の範囲を、画像処理装置を通じてコ
ンピュータに取り入れる。図2に示す画像処理アルゴリ
ズムのように、1でカラー画像の取込み、2で該画像よ
りR画像(赤色部分の画像)を分離し、ついで該R画像
についてヒストグラムの平均値を求めた後しきい値を決
定し、2値化処理を行なう。3で前記2値化した画面に
対して膨張処理を行い、ある一定範囲の面積を元に、余
分な図形を取り除く。4で残った図形の重心を求め、そ
の座標を雑草の位置とした雑草マップを作成する。雑草
駆除装置は、図3に示すように、CCDカメラ1と、該
カメラにより得られた画像を処理して雑草位置を示すデ
ータマップを作成する画像処理装置2と、前記データマ
ップによりI/O 4を介して農薬散布装置9を稼働さ
せるコンピュータ3と、台車10とより構成する。前記
農薬散布装置9は、前記I/O 4を介して例えばステ
ッピングモータ5、6により作動する位置制御可能のX
−Yテーブルに搭載された農薬散布用ノズル8とポンプ
7とよりなり、所定の雑草位置に随意移動して農薬を散
布するように構成してある。上記一連の動作を終えた
後、ACモーターによって70(cm)自走し、上記装
置一式により同様の操作を繰り返すようにしてある。こ
の方法により画像処理を行なった結果、4〜20(c
m)(直径70mm)の雑草に対して識別が可能である
ことを確認した。さらに本雑草駆除装置により、雑草の
みに農薬投与することができ、農薬使用を最小限に抑え
ることが出来る。
A weed detecting method and its exterminating method according to an embodiment of the present invention by image processing will be described with reference to FIGS. 1 to 3. The detection of weeds by image processing is performed by image processing using chromaticity difference so that weeds can be visually recognized at the time. That is, the histogram shown in FIG. 1 is obtained for each of the RGB R image, G image, and B image in which the grass portion and the weed portion are significantly separated.
A color CCD camera is used as a sensor, and in order to keep the illumination conditions constant, 100 (V) and 150 (W) incandescent bulbs are used, and the device is covered with a dark curtain. A 70 × 70 (cm) area is taken in by a CCD camera into a computer through an image processing device. As in the image processing algorithm shown in FIG. 2, in 1 the color image is captured, in 2 the R image (red part image) is separated from the image, and then the average value of the histogram is calculated for the R image and then the threshold is calculated. A value is determined and binarization processing is performed. In step 3, expansion processing is performed on the binarized screen, and excess graphics are removed based on the area of a certain fixed range. The center of gravity of the remaining figures in 4 is obtained, and a weed map whose coordinates are the positions of the weeds is created. As shown in FIG. 3, the weed control device includes a CCD camera 1, an image processing device 2 that processes an image obtained by the camera to create a data map indicating a weed position, and an I / O based on the data map. The computer 3 for operating the pesticide spraying device 9 via 4 and the trolley 10. The agricultural chemical spraying device 9 is a position controllable X operated by, for example, stepping motors 5 and 6 via the I / O 4.
-It is composed of a pesticide spraying nozzle 8 and a pump 7 mounted on a Y table, and is configured to spray a pesticide by arbitrarily moving to a predetermined weed position. After completing the above series of operations, the AC motor is allowed to self-propelled for 70 (cm), and the same operation is repeated by the above-mentioned apparatus set. As a result of performing image processing by this method, 4 to 20 (c
It was confirmed that the weeds of m) (diameter 70 mm) could be identified. Furthermore, this weed control device allows pesticides to be administered only to weeds, thus minimizing the use of pesticides.

【0013】然し、画像処理による検出は春先から夏に
かけての季節には有効であるが、秋季、冬期には識別が
困難になる。一方、グリーンの管理上、春にスズメノカ
タビラが白い小穂をつける前の秋から冬の期間に駆除し
ておくことが望ましい。それには数(cm)の雑草の駆
除を行なう必要がある。即ち、秋には芝と雑草の違いは
ほとんどなく、冬の間はいろがおちた芝に色素により色
付けをするため、つまり、しっとりとした感じ、芝を撫
でたときの剛さ・高さ・ひっかかり具合、またわずかな
色の差異を利用し、雑草の性状に着目した本発明の検出
方法の3種につき下記に説明する。
However, although detection by image processing is effective in the seasons from early spring to summer, it is difficult to identify it in the autumn and winter. On the other hand, from the viewpoint of green management, it is desirable to exterminate in the period from autumn to winter when the P. anthracis occurs before the white spikelets form in the spring. To do this, it is necessary to exterminate a few (cm) weeds. In other words, there is almost no difference between grass and weeds in the fall, and in winter the color of the grass is colored with pigments, that is, it feels moist, the rigidity and height of the grass when stroked. The three types of detection methods of the present invention, which pay attention to the properties of weeds by utilizing the degree of catching and slight color difference, will be described below.

【0014】図4は、含有水分によるマイクロ波の吸収
の効果を利用した、本発明の照射マイクロ波の反射電界
の検出による検出装置の実施例を示す図である。マイク
ロ波は水に吸収され、水を含む物体中を伝播すると減衰
する。減衰量は物質、含有水分量に関係する。本装置の
マイクロ波発振器は、水蒸気による吸収ピークに近い2
4.15(GHz)のガンダイオード発振器12を使用
してある。また、反射電界強度は芝と雑草の表面形状に
大きく影響されることを考慮し、乱反射し受信できない
散乱波に対して、該発振器12を包み込む受信専用ホー
ン15を設ける構成とし、なお、マイクロ波は指向性が
高いためホーン13の開口面がそのまま芝生19検査面
となり正確な計測が可能となる。また、比較波長として
水蒸気による吸収の比較的少ない10.52(GHz)
のガンダイオード16を取り付けてある。図4に示すよ
うに、本検出器の構成は、照射マイクロ波の送受信器1
2と散乱波専用の受信器14と比較マイクロ波送受信器
16とを左右走査機構20に搭載し、リニアシャフト1
7を介して横微動走行できるようにし、モータ18を介
して縦走行して付設してある図示してない演算制御部で
データマップを作成するようにしてある。ついで、前記
して作成したデータマップを利用して別途設けてある農
薬散布装置により所要雑草位置に薬剤散布すれば所要の
雑草駆除が出来る。本照射マイクロ波による検出方法に
よれば、秋期(10月)には雑草のある位置における受
信電界強度が大きな値を示し、すなわち、秋には芝に対
して雑草の含有水分量が少ないことが分かる。このよう
に、受信強度は天候・場所などの影響を受けるが、相対
的な差により雑草と芝を識別することが可能である。し
かし、朝霧や夜霧の影響を受け、また冬のグリーンで
は、雑草、芝ともに水分量が少なくなるため、識別が困
難になる場合がある。
FIG. 4 is a diagram showing an embodiment of a detector for detecting the reflected electric field of the irradiation microwave of the present invention, which utilizes the effect of absorption of microwaves by the contained water. Microwaves are absorbed by water and are attenuated as they propagate through an object containing water. The amount of attenuation is related to the substance and water content. The microwave oscillator of this device is close to the absorption peak due to water vapor.
A 4.15 (GHz) Gunn diode oscillator 12 is used. In consideration of the fact that the reflected electric field strength is greatly influenced by the surface shapes of grass and weeds, a reception-only horn 15 that encloses the oscillator 12 is provided for scattered waves that are irregularly reflected and cannot be received. Since the directivity is high, the opening surface of the horn 13 becomes the lawn 19 inspection surface as it is, and accurate measurement is possible. Further, as a comparison wavelength, 10.52 (GHz), which has relatively little absorption by water vapor
The Gunn diode 16 of is attached. As shown in FIG. 4, the structure of this detector is the transmitter / receiver 1 for the irradiation microwave.
2 and the receiver 14 for exclusive use of scattered waves and the comparative microwave transmitter / receiver 16 are mounted on the left and right scanning mechanism 20, and the linear shaft 1
The vehicle can be moved laterally via the motor 7, and the motor 18 can be moved vertically to create a data map by an arithmetic control unit (not shown) attached. Then, the required weeds can be exterminated by spraying the chemicals to the required weeding positions using the pesticide spraying device separately provided by using the data map created above. According to the detection method using this irradiation microwave, the received electric field strength at a position where a weed is present has a large value in the autumn (October), that is, in the fall, the water content of the weed is small relative to the grass. I understand. In this way, the reception intensity is affected by the weather and place, but it is possible to distinguish between weeds and turf by the relative difference. However, in the case of being affected by the morning mist or night mist, and in the winter green, the water content of both weeds and turf is small, which may make identification difficult.

【0015】図5は、本発明の触覚センサによる検出方
法に使用する触覚センサの概略の構造を示す図である。
本発明の触覚センサによる検出方法は、手触りの違いに
着目し、剛さ、高さ、ひっかかりをまとめて検出するた
め、ひずみゲージを利用した触覚型センサを用いる構成
とした。図1に示すように、プラスチック用ひずみゲー
ジ22を例えばウレタンゴムのような薄い帯状の可撓性
材質よりなる薄板(例えば1mm×幅10mm、先端幅
3mm)21に貼着し、先端部から約4(mm)までの
部分23が接地するように地面を摺動する構成とし、被
検出植物の上より押さえるように摺動させ、該植物の見
かけの剛さが前記押圧により加えられる荷重とそれによ
り生ずる変位に比例するものと仮定した。図6の(A)
に示す使用予定の触覚センサについて、予め高さXと出
力電圧V及び荷重Pと出力電圧Vとの関係を図6
(B)、(C)に記録し、ついで取り付け高さに差ΔX
をつけた2つのセンサ(センサA、センサB)を図7に
示すように同一走査線上Yを走行させ、その計測結果図
8(A)を同図(B)で平滑化点数を31点について平
滑化し、見かけの剛さDを下記算出式より求める。 見かけの剛さD=(Pa−Pb)/(Xβ−Xα) =(Pa−Pb)/Xo =(Pa−Pb)/(Xa+ΔX−Xb) 上記見かけの剛さ成分の算出式に図6(B)、(C)と
よりPa、Pbを割り出し代入することにより、見かけ
の剛さ成分Dを算出する。この結果、図8(C)に示す
ように前記センサの走行路位置Yに沿って雑草の位置を
検出することが出来る。夏期(9月)と冬期(1月)に
行なった実験の結果を図9(A)、(B)に示す。本図
より夏期、冬期で識別可能なことが分かる。また、直径
45(mm)までの雑草の検出が可能であることを確認
出来た。
FIG. 5 is a diagram showing a schematic structure of a tactile sensor used in the detection method by the tactile sensor of the present invention.
In the detection method using the tactile sensor of the present invention, the tactile sensor using the strain gauge is used in order to collectively detect the stiffness, height, and catch by paying attention to the difference in touch. As shown in FIG. 1, a plastic strain gauge 22 is attached to a thin plate 21 (for example, 1 mm × width 10 mm, tip width 3 mm) 21 made of a thin strip-shaped flexible material such as urethane rubber, and the distance from the tip end is reduced. The ground is slid so that the portion 23 up to 4 (mm) touches the ground, and the plant is slid so as to be pressed down from above, and the apparent rigidity of the plant is the load applied by the pressing and the load. Is assumed to be proportional to the displacement caused by. FIG. 6A
The relationship between the height X and the output voltage V and the load P and the output voltage V is previously shown in FIG.
Record in (B) and (C), then difference in mounting height ΔX
The two sensors (sensor A, sensor B) marked with are moved on the same scanning line Y as shown in FIG. 7, and the measurement results are shown in FIG. 8A for the smoothing points of 31 points. After smoothing, the apparent stiffness D is calculated by the following calculation formula. Apparent Stiffness D = (Pa−Pb) / (Xβ−Xα) = (Pa−Pb) / Xo = (Pa−Pb) / (Xa + ΔX−Xb) FIG. 6 shows the above formula for calculating the apparent stiffness component. The apparent stiffness component D is calculated by indexing and substituting Pa and Pb from B) and (C). As a result, the position of the weeds can be detected along the traveling road position Y of the sensor as shown in FIG. 8 (C). The results of experiments conducted in the summer (September) and winter (January) are shown in FIGS. 9 (A) and 9 (B). From this figure, it can be seen that it can be distinguished in summer and winter. In addition, it was confirmed that weeds up to a diameter of 45 (mm) could be detected.

【0016】図10には、葉緑体による吸収スペクトル
の図が示され、図11には本発明の光センサによる検出
方法に使用する光センサの構造が示され、図12には検
出結果が示されている。本発明は、色の差異がほとんど
ないといっても、夕陽に照された場合や、曇のため晴天
の時より日光の照射量が少ない場合など、かろうじて目
視により識別できる場合、その僅かな色の違いが葉緑体
の量に関係すると考え、フォトダイオードを使用した光
の反射率を計測するセンサを使用するようにしたもので
ある。葉緑体の中の色素(クロロフィル)に光の波長に
よって吸収量の違いがあることを利用し、葉緑体による
吸収と関係が深いと言われている波長660(nm)
と、比較波長として比較的吸収の少ない850(nm)
を使用した。例として図10にホウレンソウ葉緑体の吸
収スペクトルを示してある。また、図11に本発明に使
用する光センサの構造が示してあるが、図に示すよう
に、各波長をピーク波長とする発光ダイオード31から
光を地上の芝生に対して45(deg)でスポット照射
する。その反射光を干渉フィルター32を通じてレンズ
33により集光し、フォトダイオード34で受光する。
センサの計測範囲φは直径約7(mm)の円形状であ
り、フォトダイオード44はこの範囲の平均値を出力す
る。フォトダイオードは出力電流が非常に小さいため、
入力バイアス電流の極めて小さい高精度オペアンプAD
S15AJ(Analog Devices社)を使用
し、オペアンプの非反転入力端子へできるだけ短く接続
している。また、リーク電流を最小限に抑えるために、
メタルケース型でなくセラミックケース型のものを使用
し、フォトダイオードの取り付け部分を含め、装置全体
をアクリルにより成形加工した。また、DCアンプをセ
ンサに取り付け、共に移動するようにし、DCアンプか
らの出力が約100(Hz)の周波数であるため、7
次、カットオフ周波数(fc)が10(Hz)の最大平
坦型ロー・パス・フィルターにより平滑化している。ま
た太陽光を遮光するため、センサ全体を箱型の2重の暗
幕で覆ってある。図12(A)、(B)に秋(11月)
と冬(1月)に行なった実験の結果を示す。各季節を通
じて反射強度は雑草が芝に対して約40%程少なく、ま
た、直径約15(mm)の雑草を識別出来ることが示さ
れている。
FIG. 10 shows an absorption spectrum of chloroplasts, FIG. 11 shows the structure of an optical sensor used in the detection method of the optical sensor of the present invention, and FIG. 12 shows the detection results. It is shown. The present invention, even if there is almost no color difference, when it is barely visually recognizable, such as when it is illuminated by the setting sun or when the amount of sunlight is less than when it is sunny due to cloudy It is thought that the difference between the two is related to the amount of chloroplasts, and a sensor for measuring the reflectance of light using a photodiode is used. The wavelength 660 (nm), which is said to be closely related to the absorption by chloroplasts, is based on the fact that the pigment (chlorophyll) in chloroplasts has a different amount of absorption depending on the wavelength of light.
And 850 (nm), which has relatively little absorption as a comparison wavelength
It was used. As an example, FIG. 10 shows an absorption spectrum of spinach chloroplast. Further, FIG. 11 shows the structure of the optical sensor used in the present invention. As shown in the figure, the light from the light emitting diode 31 having the peak wavelength at each wavelength is 45 (deg) to the lawn on the ground. Spot irradiation. The reflected light is condensed by the lens 33 through the interference filter 32 and received by the photodiode 34.
The measurement range φ of the sensor is a circular shape having a diameter of about 7 (mm), and the photodiode 44 outputs the average value of this range. Since the output current of the photodiode is very small,
High precision operational amplifier AD with extremely small input bias current
S15AJ (Analog Devices) is used and connected to the non-inverting input terminal of the operational amplifier as short as possible. In addition, in order to minimize the leakage current,
A ceramic case type was used instead of the metal case type, and the entire device including the photodiode mounting part was molded with acrylic. In addition, since the output from the DC amplifier has a frequency of about 100 (Hz), the DC amplifier is attached to the sensor so as to move together.
Next, the cutoff frequency (fc) is smoothed by a maximum flat low-pass filter having a frequency of 10 (Hz). Further, in order to block sunlight, the entire sensor is covered with a double box-shaped dark curtain. Autumn (November) in Figure 12 (A) and (B)
And the results of an experiment conducted in winter (January) are shown. It has been shown that the reflection intensity of weeds is about 40% less than that of turf throughout each season, and weeds with a diameter of about 15 (mm) can be identified.

【0017】上記触覚センサや光センサを使用する場合
でも、雑草駆除装置において、それぞれのセンサ素子よ
りなる検出手段と農薬散布手段とを縦横微動位置制御可
能のX−Yテーブルよりなる位置制御機構上に設け、走
査線上の雑草位置を検出し、演算制御器等により、雑草
位置のデータマップを作成し、ついで該マツプにより前
記位置制御機構を作動させ該機構上に設けられた農薬散
布装置を切り換え手段により切り換え駆動させ、所要雑
草位置を重点的に薬剤散布して雑草駆除をすることが出
来る。
Even when the above-mentioned tactile sensor or optical sensor is used, in the weed control apparatus, the detection means composed of the respective sensor elements and the pesticide application means are arranged on the position control mechanism composed of the XY table capable of vertical and horizontal fine movement position control. To detect the weed position on the scanning line, create a data map of the weed position with an arithmetic controller, etc., and then operate the position control mechanism with the map to switch the pesticide spraying device provided on the mechanism. It is possible to exterminate weeds by switching and driving by means, and by spraying chemicals with emphasis on the required weed position.

【0018】[0018]

【効果】以上記載したように、本発明によれば、ほぼ一
様に生育中の特定植物群例えばゴルフ場に生え揃った芝
生のなかに発生した異種の植物、例えばイネ科の芝生
(ベントグラス)の中に発生するスズメノカタビラの場
合は、春から夏にかけての視覚による識別可能の時期に
おいては、画像処理の手段により識別し、また、秋から
冬及び冬期においては、照射マイクロ波の反射電解強度
の検出による検出手段や触覚センサによる検出手段及び
葉緑体による光の吸収を利用した光センサによる検出手
段により識別であり、何れの季節においても雑草駆除が
可能であると共に、特に雑草の最も駆除を必要とする、
雑草が成長して大きな株となる秋から冬にかけての駆除
が容易となる。また、請求項2記載の発明によれば、前
記検出方法により雑草の位置を検出し、その雑草位置に
対し重点的に薬剤を散布する事が可能であるために、効
率的な雑草駆除が出来る。等の種々の著効を有す。
[Effect] As described above, according to the present invention, a heterogeneous plant such as a grass (bentgrass) belonging to the grass family, such as a specific plant group that is growing almost uniformly, for example, a lawn that has grown in a golf course. In the case of Poa annua, which occurs in the field, it is identified by means of image processing in the visually recognizable period from spring to summer, and in the autumn to winter and winter, the reflected electrolytic intensity of the irradiated microwave is changed. It is possible to discriminate by means of detection by means of detection or by means of tactile sensor and means by means of light sensor utilizing absorption of light by chloroplasts, and weeds can be exterminated in any season, and especially weeds should be exterminated most. I need,
It is easy to exterminate from autumn to winter when weeds grow into large plants. Further, according to the invention of claim 2, since it is possible to detect the position of the weeds by the detection method and spray the drug with emphasis on the position of the weeds, it is possible to exterminate the weeds efficiently. . It has various remarkable effects.

【図面の簡単な説明】[Brief description of drawings]

【図1】雑草と芝のヒストグラムを示す。FIG. 1 shows a histogram of weeds and turf.

【図2】本発明の画像処理のアルゴリズムを示す。FIG. 2 shows an image processing algorithm of the present invention.

【図3】図2の画像処理による雑草駆除装置の実施例を
示す。
FIG. 3 shows an embodiment of the weed control device by the image processing of FIG.

【図4】本発明の含有水分によるマイクロ波の吸収の効
果を利用した、照射マイクロ波の反射電界の検出による
検出装置の実施例を示す。
FIG. 4 shows an embodiment of a detection device for detecting a reflected electric field of irradiation microwaves, which utilizes the effect of absorption of microwaves by the water content of the present invention.

【図5】本発明の触覚センサによる検出方法に使用する
触覚センサの概略の構造を示す。
FIG. 5 shows a schematic structure of a tactile sensor used in the detection method by the tactile sensor of the present invention.

【図6】(A)に示す触覚センサについて、予め高さX
と出力電圧V及び荷重Pと出力電圧Vとの関係を
(B)、(C)に示してある。
FIG. 6 shows the tactile sensor shown in FIG.
And (B) and (C) show the relationship between the output voltage V, the load P, and the output voltage V.

【図7】同一走査線上に設けられた取り付け高さの違う
図6に示す2つのセンサによる、見かけの剛さ成分の算
出式の説明図である。
FIG. 7 is an explanatory diagram of a formula for calculating an apparent stiffness component by the two sensors shown in FIG. 6 provided on the same scanning line but having different mounting heights.

【図8】(A)は図7の測定結果を示す図で、(B)は
(A)の平滑化点数を31点について平滑化した図で、
(C)は見かけの剛さ成分算出式より得られたセンサ走
査位置Yに対する見かけの剛さ成分を示す。
8A is a diagram showing the measurement result of FIG. 7, FIG. 8B is a diagram in which the smoothing score of FIG.
(C) shows the apparent stiffness component for the sensor scanning position Y obtained from the apparent stiffness component calculation formula.

【図9】図5の触覚センサによる実験結果を示す。9 shows an experimental result obtained by the tactile sensor shown in FIG.

【図10】葉緑体による吸収スペクトルを示す。FIG. 10 shows an absorption spectrum of chloroplasts.

【図11】本発明の光センサによる検出方法に使用す
る、光センサの構造を示す。
FIG. 11 shows a structure of an optical sensor used in the detection method by the optical sensor of the present invention.

【図12】図10の光センサを使用した検出結果を示
す。
FIG. 12 shows detection results using the optical sensor of FIG.

【符号の説明】[Explanation of symbols]

1 CCDカメラ 2 画像処理装置 3 コンピュータ 8 農薬散布装置 12 照射マイクロ波の送受信器 14 散乱波専用の受信器 16 比較マイクロ波の送受信器 21 ウレタンの薄板 22 ひずみゲージ 31 発光ダイオード 32 干渉フィルタ 33 レンズ 34 フォトダイオード 1 CCD Camera 2 Image Processing Device 3 Computer 8 Pesticide Spraying Device 12 Irradiation Microwave Transmitter / Receiver 14 Scattered Wave Receiver 16 Comparative Microwave Transmitter / Receiver 21 Urethane Thin Plate 22 Strain Gauge 31 Light Emitting Diode 32 Interference Filter 33 Lens 34 Photodiode

Claims (2)

【特許請求の範囲】[Claims] 【請求項1】 一様に生育中の特定植物群の中に発生し
た異種植物を検出する方法において、 色度差を利用した画像処理により異種植物を検出する検
出手段、異種植物の含有水分による電波の吸収の差異を
利用した照射マイクロ波の反射電界強度の検出手段、異
種植物の剛さ若しくは触感の差を利用した触覚型センサ
による検出手段、異種植物の葉緑体による光の吸収の差
を利用した光検出センサによる検出手段の内、1又は複
数の検出手段を季節に応じて適宜選択して検出する事を
特徴とする異種植物検出方法。
1. A method for detecting a heterogeneous plant generated in a group of uniformly growing specific plants, which comprises detecting means for detecting a heterogeneous plant by image processing utilizing color difference and water content of the heterogeneous plant. Detection means of reflected electric field intensity of irradiated microwaves utilizing difference in absorption of radio waves, detection means by tactile sensor utilizing difference in stiffness or tactile sensation of different plants, difference in absorption of light by chloroplasts of different plants A method for detecting a heterogeneous plant, which comprises appropriately detecting one or a plurality of detecting means among the detecting means by a light detecting sensor utilizing the above according to the season.
【請求項2】 雑草位置検出手段と雑草駆除手段とを少
なくとも二次元方向に位置制御できる位置制御機構とを
具え、前記検出手段により雑草位置を検出すると共に、
前記検出データより雑草位置のデータマツプを作成した
後、雑草駆除時に前記データマツプにより前記位置制御
機構を制御して雑草駆除手段を行なうことを特徴とする
雑草駆除方法。
2. A position control mechanism capable of controlling the position of the weed position detection means and the weed control means in at least a two-dimensional direction, and detecting the weed position by the detection means,
A weed eradication method comprising: creating a data map of a weed position from the detected data, and then performing the weed eradication means by controlling the position control mechanism by the data map at the time of the weed eradication.
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