CN113112165A - Analysis method for crop climate yield potential - Google Patents
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Abstract
The invention discloses an analysis method for crop climate yield potential, belonging to the technical field of agricultural resource research, and the analysis method comprises the following specific steps: (1) judging and analyzing crop species; (2) collecting crop growth requirements; (3) collecting environmental information; (4) collecting agricultural technical information; (5) calculating the potential of climate output; (6) updating and feeding back the planting scheme; (7) updating scheme storage; the invention can continuously update and feed back the potential of the crop climate output by collecting various data in real time, reduces the probability of error in the growth of the crop, improves the growth quality of the crop, saves resources, does not need to update and optimize the existing planting scheme in real time by planting personnel, improves the working efficiency of the planting personnel and saves time and labor.
Description
Technical Field
The invention relates to the technical field of agricultural resource research, in particular to an analysis method for crop climate yield potential.
Background
The climate production potential refers to the possible crop yield per unit area determined by factors such as solar radiation, temperature and moisture when indexes such as soil fertility and agricultural technical measures are all in the most suitable conditions in a region, the climate production potential can be calculated after the light temperature production potential is subjected to moisture correction, and according to the research result of the maximum photosynthesis efficiency, the maximum absorption rate correction, the leaf area index correction, the growth rate correction and the respiration correction of photosynthetically active radiation are performed on plant populations under natural conditions, and the temperature condition and the moisture condition are corrected, so the climate production potential is different according to plant species, and different plants are generally required to be estimated. But in order to summarize the influence of climate resource conditions on plant productivity, comprehensive and summarized estimation can be carried out, the estimation result of the climate production potential is rough but still remains as important reference data, people can find the potential and the extent of excavation from the comparison of the existing productivity level and the climate production potential, and can also find out main limiting factors by utilizing an analysis method of the climate production potential so as to determine a main attack target and a scheme, and by comparing the estimation of the agricultural climate production potential with the actual yield, corresponding measures can be made in a targeted manner on the basis of fully proving key factors for limiting yield improvement, so that the advantages of climate resources and agricultural resources are exploited, and the crop yield potential is excavated to the maximum extent; therefore, it becomes important to develop a method for analyzing the potential of crop climate yield;
through retrieval, Chinese patent No. CN105447317A discloses an analysis method of crop climate yield potential, the invention accurately reflects the accumulation state of crop dry matter, improves the accuracy and objectivity of the climate yield potential, but can not update the planting scheme of the grower and feed back the defects, the existing analysis method of the crop climate yield potential can only calculate the crop climate yield potential, can not update and optimize the existing planting scheme, affects the working efficiency of the grower, and needs the grower to manually analyze the optimization scheme, wastes time and manpower, and secondly, the existing analysis method of the crop climate yield potential can not update the crop climate yield potential in real time, so that the crop growth is easy to generate errors, affects the growth quality of the crop, and wastes resources; to this end, we propose a method for analyzing the potential of crop climate yield.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a method for analyzing the crop climate yield potential.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for analyzing crop climate yield potential comprises the following specific steps:
(1) and (3) judging and analyzing the crop species: analyzing and judging crop varieties to generate variety data;
(2) collecting the growth requirements of crops: analyzing variety data and collecting related crop growth requirements;
(3) collecting environmental information: collecting basic information of a planting environment;
(4) collecting agricultural technical information: collecting and processing local agricultural technical information to generate initial data;
(5) calculating the potential of climate yield: calculating the climate yield potential of the crop in the local area, and processing the climate yield potential to generate updated data;
(6) and (3) updating and feeding back a planting scheme: analyzing the updating data and starting to update the initial data to generate result data;
(7) the update scheme stores: and processing the updated result data to generate storage data for storage.
Further, the crop species in the step (1) are subjected to species identification through big data analysis and comparison, and the analyzed data are processed according to the definition of the data dictionary to generate species data.
Further, the variety data in the step (2) is analyzed and judged, and then data collection is carried out on the corresponding crop growth requirements, wherein the specific data collection mode is as follows:
the method comprises the following steps: comparing and analyzing crop information contained in the variety data with various crop information stored in the internet and a database respectively to perform secondary confirmation on the crop variety;
step two: and collecting and processing the crop growth requirements to generate planting data, wherein the growth requirements comprise illumination intensity, soil quality, moisture and nutrients.
Further, the planting environment basic information in the step (3) is classified and collected through an environment analysis device, the environment analysis device comprises a light collection module, a soil quality detection module, a moisture detection module and a nutrient collection module, and the specific classification and collection steps are as follows:
the first step is as follows: the illumination collection module, the soil quality detection module, the moisture detection module and the nutrient collection module start to collect illumination intensity, soil quality, moisture and nutrients of the planting environment in real time respectively;
the second step is that: collected light intensity, soil quality, moisture and nutrients were labeled Y, T, S and F, respectively.
Further, the agricultural technology information in the step (4) is obtained by manually inputting information data by a planting person, generating initial data through data processing and storing the initial data, wherein the information data comprises planting schemes, planting technologies and planting tools.
Further, the crop climate yield potential in the step (5) is calculated and processed by collecting Y, T, S and F to generate updated data, and the specific data calculation steps are as follows:
s1: when Y, T, S and F reach the optimum state of the crops, the moisture of the moisture S is corrected by the following formula:
in the formula: (w) represents a water correction function, R represents precipitation, NR represents outflow, ETp represents evapotranspiration, and 0 < (1-N). times.R < ETp;
s2: the climate production potential was calculated by the following formula:
in the formula: y3 represents the climate production potential, Y2 represents the light temperature production potential;
s3: and calculating and updating Y3 in real time according to Y, T, S and the change of F.
Further, the updating data in the step (6) is analyzed and operated by intelligent computing equipment, and then the initial data is updated and optimized to generate result data, wherein the intelligent computing equipment is one of a computer or an intelligent robot.
And (3) further, performing data conversion on the result data in the step (7) according to the definition of the data dictionary, generating storage data, and uploading the storage data to a cloud server for storage.
Compared with the prior art, the invention has the beneficial effects that:
1. the analysis method of the crop climate yield potential is used for carrying out secondary confirmation on crop varieties, then starting to collect the illumination intensity, soil quality, water and nutrients required by the growth of corresponding crops, after data collection is finished, starting to collect the illumination intensity, soil quality, water and nutrients of the planting environment of the crops to be planted in real time, continuously updating and feeding back the crop climate yield potential through the real-time collection of various data, reducing the probability of errors in the growth of the crops, improving the crop growth quality and saving resources;
2. compared with the single method for analyzing the crop climate yield potential, the method for analyzing the crop climate yield potential updates the crop climate yield potential in real time according to the illumination intensity, soil quality, moisture and nutrients of the planting environment collected in real time, meanwhile, the intelligent computing device updates and optimizes the planting scheme, planting technology and planting tools of the planting personnel in time through the change of the crop climate yield potential, the planting personnel does not need to update and optimize the existing planting scheme in real time, the working efficiency of the planting personnel is improved, and time and manpower are saved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a block flow diagram of a method for analyzing crop climate yield potential according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1, a method for analyzing crop climate yield potential, the method comprises the following steps:
(1) and (3) judging and analyzing the crop species: analyzing and judging crop varieties to generate variety data;
(2) collecting the growth requirements of crops: analyzing variety data and collecting related crop growth requirements;
(3) collecting environmental information: collecting basic information of a planting environment;
(4) collecting agricultural technical information: collecting and processing local agricultural technical information to generate initial data;
(5) calculating the potential of climate yield: calculating the climate yield potential of the crop in the local area, and processing the climate yield potential to generate updated data;
(6) and (3) updating and feeding back a planting scheme: analyzing the updating data and starting to update the initial data to generate result data;
(7) the update scheme stores: and processing the updated result data to generate storage data for storage.
The specific scheme of the embodiment is as follows: and (2) performing variety confirmation on the crop varieties in the step (1) through big data analysis and comparison, and processing the analyzed data according to the definition of the data dictionary to generate variety data.
And (3) after the variety data in the step (2) is analyzed and judged, starting to collect data of corresponding crop growth requirements, wherein the specific data collection mode is as follows:
the method comprises the following steps: comparing and analyzing crop information contained in the variety data with various crop information stored in the internet and a database respectively to perform secondary confirmation on the crop variety;
step two: and collecting and processing the crop growth requirements to generate planting data, wherein the growth requirements comprise illumination intensity, soil quality, moisture and nutrients.
In the step (3), the basic information of the planting environment is classified and collected through environment analysis equipment, the environment analysis equipment comprises an illumination acquisition module, a soil quality detection module, a moisture detection module and a nutrient collection module, and the specific classification and collection steps are as follows:
the first step is as follows: the illumination collection module, the soil quality detection module, the moisture detection module and the nutrient collection module start to collect illumination intensity, soil quality, moisture and nutrients of the planting environment in real time respectively;
the second step is that: collected light intensity, soil quality, moisture and nutrients were labeled Y, T, S and F, respectively.
In the embodiment of the invention, after the crop variety is secondarily confirmed, the method starts to collect the illumination intensity, soil quality, moisture and nutrients required by the growth of the corresponding crop, starts to collect the illumination intensity, soil quality, moisture and nutrients of the planting environment in which the crop needs to be planted in real time after the data collection is finished, and continuously updates and feeds back the crop climate yield potential through the real-time collection of various data, thereby reducing the probability of errors in the growth of the crop, improving the crop growth quality and saving resources.
The specific scheme of the embodiment is as follows: and (4) manually inputting information data by a planting worker according to the agricultural technical information in the step (4), generating initial data through data processing, and storing the initial data, wherein the information data comprises a planting scheme, a planting technology and a planting tool.
And (3) calculating the crop climate yield potential in the step (5) by collecting Y, T, S and F, and processing to generate updated data, wherein the specific data calculation steps are as follows:
s1: when Y, T, S and F reach the optimum state of the crops, the moisture of the moisture S is corrected by the following formula:
in the formula: (w) represents a water correction function, R represents precipitation, NR represents outflow, ETp represents evapotranspiration, and 0 < (1-N). times.R < ETp;
s2: the climate production potential was calculated by the following formula:
in the formula: y3 represents the climate production potential, Y2 represents the light temperature production potential;
s3: and calculating and updating Y3 in real time according to Y, T, S and the change of F.
And (6) after the updated data are analyzed and operated by intelligent computing equipment, updating and optimizing the initial data to generate result data, wherein the intelligent computing equipment is one of a computer or an intelligent robot.
In the embodiment of the invention, compared with the single method for calculating the crop climate yield potential, the method for analyzing the crop climate yield potential updates the crop climate yield potential in real time according to the illumination intensity, soil quality, moisture and nutrients of the planting environment collected in real time, and meanwhile, the intelligent computing device updates and optimizes the planting scheme, the planting technology and the planting tools of the planting personnel in time according to the change of the crop climate yield potential, so that the existing planting scheme does not need to be updated and optimized by the planting personnel in real time, the working efficiency of the planting personnel is improved, and the time and the labor are saved.
The specific scheme of the embodiment is as follows: and (7) performing data conversion on the result data according to the definition of the data dictionary, generating storage data and uploading the storage data to a cloud server for storage.
The working principle and the using process of the invention are as follows: firstly, crop species are analyzed and compared through big data to confirm varieties, the analyzed data are processed according to the definition of a data dictionary to generate variety data, the variety data are analyzed and judged, then data collection is started to be carried out on corresponding crop growth requirements, crop information contained in the variety data is respectively compared and analyzed with various crop information stored in the internet and a database to carry out secondary confirmation on the crop species, the data collection is carried out on the crop growth requirements to generate planting data, the growth requirements comprise illumination intensity, soil quality, moisture and nutrients, basic information of a planting environment is classified and collected through environment analysis equipment, and the environment analysis equipment comprises an illumination collection module, a soil quality detection module, a moisture detection module and a nutrient collection module, an illumination collection module, a soil quality detection module, a data analysis, The moisture detection module and the nutrient collection module start to collect the illumination intensity, the soil quality, the moisture and the nutrients of the planting environment in real time respectively, mark the collected illumination intensity, the soil quality, the moisture and the nutrients as Y respectively, t, S and F, wherein a planting worker manually inputs information data, performs data processing through a computer to generate initial data and stores the initial data, the information data comprise planting schemes, planting technologies and planting tools, the crop climate yield potential is subjected to data calculation and processing through collection Y, T, S and F to generate updated data, the updated data are analyzed and calculated through intelligent computing equipment, the initial data are subjected to updating optimization processing to generate result data, the intelligent computing equipment is one of a computer or an intelligent robot, and the result data are subjected to data conversion according to the definition of a data dictionary to generate storage data and are uploaded to a cloud server to be stored.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. A method for analyzing crop climate yield potential is characterized by comprising the following specific steps:
(1) and (3) judging and analyzing the crop species: analyzing and judging crop varieties to generate variety data;
(2) collecting the growth requirements of crops: analyzing variety data and collecting related crop growth requirements;
(3) collecting environmental information: collecting basic information of a planting environment;
(4) collecting agricultural technical information: collecting and processing local agricultural technical information to generate initial data;
(5) calculating the potential of climate yield: calculating the climate yield potential of the crop in the local area, and processing the climate yield potential to generate updated data;
(6) and (3) updating and feeding back a planting scheme: analyzing the updating data and starting to update the initial data to generate result data;
(7) the update scheme stores: and processing the updated result data to generate storage data for storage.
2. The method for analyzing the crop climate yield potential according to claim 1, wherein the crop species in step (1) is subjected to species identification through big data analysis and comparison, and the analyzed data is processed according to the definition of a data dictionary to generate species data.
3. The method for analyzing the climate yield potential of crops according to claim 1, wherein the variety data in step (2) is analyzed and judged to start data collection of the corresponding crop growth requirements, and the specific data collection manner is as follows:
the method comprises the following steps: comparing and analyzing crop information contained in the variety data with various crop information stored in the internet and a database respectively to perform secondary confirmation on the crop variety;
step two: and collecting and processing the crop growth requirements to generate planting data, wherein the growth requirements comprise illumination intensity, soil quality, moisture and nutrients.
4. The method for analyzing the crop climate yield potential according to claim 1, wherein the basic information of the planting environment in step (3) is classified and collected by an environment analysis device, the environment analysis device comprises a light collection module, a soil quality detection module, a moisture detection module and a nutrient collection module, and the specific classification and collection steps are as follows:
the first step is as follows: the illumination collection module, the soil quality detection module, the moisture detection module and the nutrient collection module start to collect illumination intensity, soil quality, moisture and nutrients of the planting environment in real time respectively;
the second step is that: collected light intensity, soil quality, moisture and nutrients were labeled Y, T, S and F, respectively.
5. The method for analyzing the crop climate yield potential according to claim 1, wherein the agrotechnical information in step (4) is obtained by inputting information data manually by a grower, and generating and storing initial data through data processing, wherein the information data comprises planting schemes, planting technologies and planting tools.
6. The method for analyzing the crop climate yield potential according to claim 1, wherein the crop climate yield potential in the step (5) is calculated by collecting Y, T, S and F data and processing the data to generate updated data, and the specific data calculation steps are as follows:
s1: when Y, T, S and F reach the optimum state of the crops, the moisture of the moisture S is corrected by the following formula:
in the formula: (w) represents a water correction function, R represents precipitation, NR represents outflow, ETp represents evapotranspiration, and 0 < (1-N). times.R < ETp;
s2: the climate production potential was calculated by the following formula:
in the formula: y3 represents the climate production potential, Y2 represents the light temperature production potential;
s3: and calculating and updating Y3 in real time according to Y, T, S and the change of F.
7. The method for analyzing crop climate yield potential according to claim 1, wherein the updated data in step (6) is analyzed and operated by an intelligent computing device, and then the initial data is subjected to updating optimization processing to generate result data, wherein the intelligent computing device is one of a computer and an intelligent robot.
8. The method for analyzing the crop climate yield potential of claim 1, wherein in the step (7), the result data is subjected to data conversion according to the definition of the data dictionary to generate storage data, and the storage data is uploaded to a cloud server for storage.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117474392A (en) * | 2023-10-30 | 2024-01-30 | 北京香田智能科技有限公司 | Grower potential analysis system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101916337A (en) * | 2010-08-23 | 2010-12-15 | 湖南大学 | Method for dynamically predicting potential productivity of paddy rice based on geographical information system |
| US20120109614A1 (en) * | 2010-10-25 | 2012-05-03 | Lindores Robert J | Crop characteristic estimation |
| CN105447317A (en) * | 2015-12-01 | 2016-03-30 | 中国农业科学院棉花研究所 | Analysis method for crop climate yield potential |
| CN107944596A (en) * | 2017-10-20 | 2018-04-20 | 上海交通大学 | A kind of muskmelon growth management expert system based on Internet of Things |
| CN111934751A (en) * | 2020-08-28 | 2020-11-13 | 中南民族大学 | Agricultural environment data acquisition system and method based on Beidou short message |
-
2021
- 2021-04-20 CN CN202110422235.XA patent/CN113112165A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101916337A (en) * | 2010-08-23 | 2010-12-15 | 湖南大学 | Method for dynamically predicting potential productivity of paddy rice based on geographical information system |
| US20120109614A1 (en) * | 2010-10-25 | 2012-05-03 | Lindores Robert J | Crop characteristic estimation |
| CN105447317A (en) * | 2015-12-01 | 2016-03-30 | 中国农业科学院棉花研究所 | Analysis method for crop climate yield potential |
| CN107944596A (en) * | 2017-10-20 | 2018-04-20 | 上海交通大学 | A kind of muskmelon growth management expert system based on Internet of Things |
| CN111934751A (en) * | 2020-08-28 | 2020-11-13 | 中南民族大学 | Agricultural environment data acquisition system and method based on Beidou short message |
Non-Patent Citations (3)
| Title |
|---|
| 孙小龙;武荣盛;李平;李丹;: "内蒙古不同类型草原区Hargreaves计算参考作物蒸散量的适用性分析", 草业学报, no. 05 * |
| 张浩;席磊;许鑫;高瑞;马新明;尹钧;: "基于GIS的县域小麦自然生产潜力评价系统", 农业工程学报, no. 12, pages 1 - 5 * |
| 张超;吴瑞芬;: "内蒙古玉米干旱风险区划方法研究", 中国农业资源与区划, no. 07 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117474392A (en) * | 2023-10-30 | 2024-01-30 | 北京香田智能科技有限公司 | Grower potential analysis system |
| CN117474392B (en) * | 2023-10-30 | 2024-05-03 | 北京香田智能科技有限公司 | Grower potential analysis system |
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Application publication date: 20210713 |