Crop modularized growth data acquisition system

Abstract

The invention relates to the technical field of crop growth management, in particular to a crop modular growth data acquisition system, which is characterized in that an experimental project is established, laser range finders are erected in the middle of a plurality of experimental fields, and height recorders are erected on the peripheries of the plurality of experimental fields; setting a contrast experiment, and sowing the same crop in a plurality of groups of test fields; according to the scheme, the influence of different growth conditions on crop growth can be comprehensively understood by establishing the experiment project and the contrast experiment; a laser range finder and a height recorder are used for measuring the height of a plant, and a camera acquisition device is used for acquiring leaf surface chromaticity information, so that accurate data support is provided; the leaf surface green chromaticity and the mixed color ratio of the crop plant are analyzed, so that the growth condition of the crop can be evaluated; experimental data analysis results show that reduction of specific growth conditions can generate negative effects on crop growth, and a reference basis is provided for optimization of crop growth.

Description

Technical Field

[0001] The invention relates to the technical field of crop growth management, and in particular to a modular crop growth data acquisition system. Background Art

[0002] In the field of agricultural production, understanding the growth of crops under different growth conditions is crucial to improving yield and quality. However, existing crop growth data collection methods have many limitations and cannot fully and accurately obtain crop growth information. For example, traditional methods may rely on manual observation, which makes it difficult to ensure the accuracy and timeliness of data; or only focus on certain specific factors and ignore the influence of other important factors. In addition, existing technologies are also insufficient in data analysis and application, and cannot fully tap the potential value of data. Therefore, in order to meet the needs of agricultural production, a more efficient, comprehensive and accurate crop modular growth data collection method is needed, which can comprehensively consider a variety of growth conditions and provide detailed and accurate data support to help farmers optimize planting management and improve crop growth conditions and yields.

[0003] In order to solve the above technical problems, Chinese patent document CN118246604A discloses a modular crop growth data collection and growth prediction system. The system provided by the present invention realizes the collection and calculation of different types of crop growth data by setting modules separately, which is convenient for users to accurately grasp the growth environment and development of crops in real time. By setting module interfaces, event processing in the crop growth stage is performed to realize the automation of crop growth management. At the same time, the data obtained by each module and the corresponding event data are analyzed for importance and then a data set is constructed. The XGBoost model and the SVM model are combined for crop growth prediction, which effectively improves the accuracy of the prediction, provides data reference for crop cultivation, and facilitates managers to formulate corresponding management plans in real time.

[0004] However, the modular crop growth data collection and growth prediction system may be insufficient in fully understanding the impact of different growth conditions on crop growth, accurately measuring plant height, analyzing crop growth conditions, and providing a reference basis for optimizing crop growth. Specifically, it may lack comparative experiments to fully understand the impact of growth conditions, may not use relevant equipment to accurately measure plant height, may not analyze leaf green chroma and variegated color ratio to evaluate growth conditions, and may not be able to derive methods to reduce the negative impact of specific growth conditions through experimental data analysis, making it difficult to provide an effective reference basis for optimizing crop growth.

[0005] Therefore, inventors in the field have proposed a modular crop growth data collection system to solve the above problems. Summary of the invention

[0006] Technical problems solved: Traditional methods may rely on manual observation, which makes it difficult to ensure the accuracy and timeliness of data; or they may only focus on certain specific factors, thereby ignoring the impact of other important factors.

[0007] In view of the deficiencies in the prior art, the present invention provides a modular crop growth data acquisition system, thereby solving the technical problems mentioned in the background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A method for collecting modular crop growth data comprises the following steps:

[0010] S1. Establish experimental projects;

[0011] S1-1. Set up laser rangefinders in the middle of multiple test fields and set up height recorders around multiple test fields;

[0012] S1-2. Set up a comparative experiment, sow the same crops in multiple groups of experimental fields, ensure normal light, water, nutrients, and temperature in Experimental Field No. 1, reduce the light duration of Experimental Field No. 2 compared with Experimental Field No. 1, reduce the water intake of Experimental Field No. 3 compared with Experimental Field No. 1, reduce the nutrient supply of Experimental Field No. 4 compared with Experimental Field No. 1, and increase or decrease the temperature of Experimental Field No. 5 compared with Experimental Field No. 1;

[0013] S2, obtain experimental data;

[0014] S2-1, the laser rangefinder emits a light beam passing through the crop plant, the crop plant is located between the laser rangefinder and the height recorder, the distance a between the laser rangefinder and the height recorder is a fixed distance, so b is half a;

[0015] S2-2, the laser rangefinder emits a horizontal beam ①, and the height of the end point of the upper beam on the height recorder is c;

[0016] S2-3, the laser rangefinder emits a beam ②, which passes through the top of the crop plant. The length of the beam is d. The top of the crop plant is in the middle of the beam, so e is half of d;

[0017] S2-4, therefore So the plant height g = f + c;

[0018] S3, collecting plant leaf chromaticity information;

[0019] S3-1. Set up video collection equipment in the middle of the five test fields and collect pictures of plants in a certain area of ​​fixed size in the five test fields every day;

[0020] S3-2, analyzing the green chromaticity x and the proportion of variegated colors y on the leaves of crop plants;

[0021] S3-3, plant chromaticity z, z = x ÷ y, the higher the green chromaticity x, the greater the plant chromaticity, indicating that the plant is better, the lower the proportion of variegated colors y, the greater the plant chromaticity, indicating that the plant is better;

[0022] S4, experimental data analysis;

[0023] S4-1. Record the height of the crop plants in the experimental fields 1, 2, 3, 4 and 5 as g. 1 , g 2 , g 3 , g 4 , g 5 ;

[0024] S4-2, record the chromaticity of the crop plants in the No. 1, 2, 3, 4, and 5 experimental fields as z 1 、z 2 、z 3 、z 4 、z 5 ;

[0025] S4-3. When normal light, water, nutrients and temperature were maintained in Experimental Field No. 1 and specific growth conditions were reduced in Experimental Fields No. 2, 3, 4 and 5 respectively, their g and z values ​​decreased, indicating that crop growth would be affected if specific growth conditions were reduced.

[0026] In a possible implementation, the calculation formula for the plant height of each test field in S2-4 is as follows:

[0027] Experimental Field No. 1:

[0028] Experimental Field No. 2:

[0029] Experimental Field No. 3:

[0030] Experimental Field No. 4:

[0031] Experimental Field No. 5:

[0032] In a possible implementation, the chromaticity calculation formula of the plants in each experimental field in S3-3 is as follows:

[0033] Experimental Field No. 1: z 1 =x 1 ÷y 1

[0034] Experimental Field No. 2: z 2 =x2 ÷y 2

[0035] Experimental Field No. 3: z 3 =x 3 ÷y 3

[0036] Experimental Field No. 4: z 4 =x 4 ÷y 4

[0037] Experimental Field No. 5: z 5 =x 5 ÷y 5

[0038] In a possible implementation, a crop modular growth data acquisition system is implemented in the above-mentioned crop modular growth data acquisition method, including an information acquisition module, a data processing module, and an information display module. The information acquisition module is used to collect environmental data, height data, and image data.

[0039] In a possible implementation, the information display module transmits data to the user via a lower computer, and the lower computer includes a display, a mobile phone, and the like.

[0040] In a possible implementation, the data processing module includes MATLAB software, and the MATLAB software is used to detect areas of different colors and shapes of leaves of plants in an area.

[0041] Beneficial effects compared with the prior art:

[0042] 1. In this scheme, a laser rangefinder and a height recorder are used to measure the plant height;

[0043] 2. In this scheme, the leaf chromaticity information is collected by camera acquisition equipment to analyze the green chromaticity and the proportion of variegated colors on the leaf surface of the crop plants to evaluate the growth status of the crops;

[0044] 3. In this plan, by establishing experimental projects and comparative experiments, analyzing the plant height, leaf green chroma and proportion of variegated colors in each experimental field, we can fully understand the impact of different growth conditions on crop growth, comprehensively consider multiple growth conditions, and provide detailed and accurate data support. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0046] Figure 1Distribution of experimental items for the present invention;

[0047] Figure 2 It is a schematic diagram of plant height of the present invention;

[0048] Figure 3 It is a schematic diagram of the plant growth value of the test field of the present invention;

[0049] Figure 4 This is a framework diagram of a modular crop growth data acquisition system. DETAILED DESCRIPTION

[0050] The preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the present invention can be implemented in various forms, so the present invention is not limited to the embodiments described below. In addition, in order to more clearly describe the present invention, components that are not connected with the invention will be omitted from the drawings.

[0051] The technical solution in the embodiment of the present application is to solve the problems of the above-mentioned background technology, and the overall idea is as follows:

[0052] Please refer to Figure 1-4 As shown, this embodiment introduces a method for collecting modular crop growth data, comprising the following steps:

[0053] S1. Establish Figure 1 Experimental Project:

[0054] S1-1. Set up laser rangefinders in the middle of multiple test fields and set up height recorders around multiple test fields;

[0055] S1-2. Set up a comparative experiment, sow the same crops in multiple groups of experimental fields, ensure normal light, water, nutrients, and temperature in Experimental Field No. 1, reduce the light duration of Experimental Field No. 2 compared with Experimental Field No. 1, reduce the water intake of Experimental Field No. 3 compared with Experimental Field No. 1, reduce the nutrient supply of Experimental Field No. 4 compared with Experimental Field No. 1, and increase or decrease the temperature of Experimental Field No. 5 compared with Experimental Field No. 1;

[0056] S2, such as Figure 2 As shown, get the experimental data:

[0057] S2-1, the laser rangefinder emits a light beam passing through the crop plant, the crop plant is located between the laser rangefinder and the height recorder, the distance a between the laser rangefinder and the height recorder is a fixed distance, so b is half a;

[0058] S2-2, the laser rangefinder emits a horizontal beam ①, and the height of the end point of the upper beam on the height recorder is c;

[0059] S2-3, the laser rangefinder emits a beam ②, which passes through the top of the crop plant. The length of the beam is d. The top of the crop plant is in the middle of the beam, so e is half of d;

[0060] S2-4, therefore So the plant height g = f + c;

[0061] S3, such as Figure 1 As shown, the plant leaf chromaticity information is collected:

[0062] S3-1. Set up video collection equipment in the middle of the five test fields and collect pictures of plants in a certain area of ​​fixed size in the five test fields every day;

[0063] S3-2, analyzing the green chromaticity x and the proportion of variegated colors y on the leaves of crop plants;

[0064] S3-3, plant chromaticity z, z = x ÷ y, the higher the green chromaticity x, the greater the plant chromaticity, indicating that the plant is better; the lower the proportion of variegated colors y, the greater the plant chromaticity, indicating that the plant is better;

[0065] S4. Experimental data analysis:

[0066] S4-1. Record the height of the crop plants in the experimental fields 1, 2, 3, 4 and 5 as g. 1 , g 2 , g 3 , g 4 , g 5 ;

[0067] S4-2, record the chromaticity of the crop plants in the No. 1, 2, 3, 4, and 5 experimental fields as z 1 、z 2 、z 3 、z 4 、z 5 ;

[0068] S4-3, such as Figure 3 As shown, when normal light, water, nutrients and temperature were maintained in Experimental Field No. 1, and specific growth conditions were reduced in Experimental Fields No. 2, 3, 4 and 5, their g and z values ​​all decreased, indicating that crop growth would be affected if specific growth conditions were reduced.

[0069] Please refer to Figure 4As shown, a modular crop growth data acquisition system is applied to the above-mentioned modular crop growth data acquisition method, including an information acquisition module, a data processing module, and an information display module. The information acquisition module is used to measure the environmental data, plant height data, and plant leaf image data of each test field. After the data is analyzed by the data processing module, the g and z values ​​are obtained, and then the g and z values ​​as well as the environmental data, plant height data, and plant leaf image data are transmitted to the information display module together, and the staff can view the relevant data through the mobile client.

[0070] The data processing module is equipped with MATLAB software, which is software that can detect areas of different colors and shapes, and is not specific to this type;

[0071] The area k of any 10 leaves in each experimental field was detected by MATLAB software, the average leaf size of each experimental field was set as h, and the crop status value was set as o.

[0072] Experimental Field No. 1:

[0073]

[0074] Experimental Field No. 2:

[0075]

[0076] Experimental Field No. 3:

[0077]

[0078] Experimental Field No. 4:

[0079]

[0080]

[0081] Experimental Field No. 5:

[0082]

[0083] In summary, the status values ​​of each experimental field are (where f is a comprehensive evaluation function that can be defined and adjusted according to specific circumstances):

[0084] Experimental Field No. 1:

[0085] o 1 =f(g 1 ,z 1 )

[0086] Experimental Field No. 2:

[0087] o 2 =f(g 2,z 2 )

[0088] Experimental Field No. 3:

[0089] o 3 =f(g 3 ,z 3 )

[0090] Experimental Field No. 4:

[0091] o 4 =f(g 4 ,z 4 )

[0092] Experimental Field No. 5:

[0093] o 5 =f(g 5 ,z 5 )

[0094] like Figure 3 As shown:

[0095]

[0096] This technical solution covers many aspects and aims to comprehensively and deeply study the growth of crops. First, establish an experimental project to clarify the research objectives and scope. Then, conduct comparative experiments and set different growth conditions to fully understand the impact of various factors on crop growth. At the same time, a variety of advanced equipment, such as sensors, cameras, etc., are used to collect a large amount of crop growth data, including but not limited to environmental parameters such as temperature, humidity, and light, as well as characteristic data such as crop morphology and color. In addition, key indicators such as leaf green chromaticity and the proportion of variegated colors will be deeply analyzed to more accurately evaluate the growth status of crops. Finally, based on the above values, it can be obtained that the growth status of plants in experimental field 1 is better, and the status of plants in experimental fields 2, 3, 4, and 5 is poor, which provides strong support and guidance for optimizing crop growth.

[0097] In this embodiment, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor executes any one of the above-mentioned methods and systems for collecting modular growth data of crops.

[0098] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0099] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A modular crop growth data collection method, characterized in that: The following steps are involved: S1. Establish experimental projects; S1-1. Set up laser rangefinders in the middle of multiple test fields and set up height recorders around multiple test fields; S1-2. Set up a comparative experiment, sow the same crops in multiple groups of experimental fields, ensure normal light, water, nutrients, and temperature in Experimental Field No. 1, reduce the light duration of Experimental Field No. 2 compared with Experimental Field No. 1, reduce the water intake of Experimental Field No. 3 compared with Experimental Field No. 1, reduce the nutrient supply of Experimental Field No. 4 compared with Experimental Field No. 1, and increase or decrease the temperature of Experimental Field No. 5 compared with Experimental Field No. 1; S2, obtain experimental data; S2-1, the laser rangefinder emits a light beam passing through the crop plant, the crop plant is located between the laser rangefinder and the height recorder, the distance a between the laser rangefinder and the height recorder is a fixed distance, so b is half a; S2-2, the laser rangefinder emits a horizontal beam ①, and the height of the end point of the upper beam on the height recorder is c; S2-3, the laser rangefinder emits a beam ②, which passes through the top of the crop plant. The length of the beam is d. The top of the crop plant is in the middle of the beam, so e is half of d; S2-4, therefore So the plant height g = f + c; S3, collecting plant leaf chromaticity information; S3-1. Set up video collection equipment in the middle of the five test fields and collect pictures of plants in a certain area of ​​fixed size in the five test fields every day; S3-2, analyzing the green chromaticity x and the proportion of variegated colors y on the leaves of crop plants; S3-3, plant chromaticity z, z = x ÷ y, the higher the green chromaticity x, the greater the plant chromaticity, indicating that the plant is better, the lower the proportion of variegated colors y, the greater the plant chromaticity, indicating that the plant is better; S4, experimental data analysis; S4-1. Record the height of the crop plants in the experimental fields 1, 2, 3, 4 and 5 as g. 1 , g 2 , g 3 , g 4 , g 5 ; S4-2, record the chromaticity of the crop plants in the No. 1, 2, 3, 4, and 5 experimental fields as z 1 、z 2 、z 3 、z 4 、z 5 ; S4-3. When normal light, water, nutrients and temperature were maintained in Experimental Field No. 1 and specific growth conditions were reduced in Experimental Fields No. 2, 3, 4 and 5 respectively, their g and z values ​​decreased, indicating that crop growth would be affected if specific growth conditions were reduced.

2. A method for collecting modular crop growth data according to claim 1, characterized in that: The calculation formula for the plant height of each test field in S2-4 is as follows: Experimental Field No. 1: Experimental Field No. 2: Experimental Field No. 3: Experimental Field No. 4: Experimental Field No. 5:

3. A method for collecting modular crop growth data according to claim 1, characterized in that: The calculation formula for the chromaticity of plants in each experimental field in S3-3 is as follows: Experimental Field No. 1: z 1 =x 1 ÷y 1 Experimental Field No. 2: z 2 =x 2 ÷y 2 Experimental Field No. 3: z 3 =x 3 ÷y 3 Experimental Field No. 4: z 4 =x 4 ÷y 4 Experimental Field No. 5: z 5 =x 5 ÷y 5 4. A crop modular growth data collection system, executing a crop modular growth data collection method according to claim 1-3, characterized in that: It includes an information collection module, a data processing module, and an information display module. The information collection module is used to collect environmental data, height data, and image data.

5. A modular crop growth data collection system as claimed in claim 4, characterized in that: The information display module transmits data to the user through a lower computer, and the lower computer includes a display, a mobile phone, etc.

6. A modular crop growth data collection system as claimed in claim 4, characterized in that: The data processing module includes MATLAB software, and the MATLAB software is used to detect areas of different colors and shapes of leaves of plants in an area.

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