Cultivated land quality grade monitoring and evaluation system and method

Abstract

The invention relates to the technical field of cultivated land quality evaluation, and particularly discloses a cultivated land quality grade monitoring and evaluation system and method, and the system comprises a data collection module, a data management module, a data processing module, an intelligent analysis module, and a decision support module. Through continuous monitoring and scientific management measures, the physical, chemical and biological characteristics of the soil are remarkably improved, so that the overall health level of the soil is improved, the production capacity of the soil is enhanced, the yield of crops is increased by optimizing fertilization and management strategies, direct economic benefits are brought, and the method is suitable for large-scale popularization and application. Through precise fertilization and ecological restoration measures, dependence on chemical fertilizers is reduced, production cost is reduced, pollution to the environment is reduced, through training and practical application, the understanding and technical level of practitioners on soil management is improved, and the decision-making ability of the practitioners in agricultural management is enhanced.

Description

Technical Field

[0001] The present invention belongs to the technical field of cultivated land quality evaluation, and in particular relates to a cultivated land quality grade monitoring and evaluation system and method. Background Art

[0002] With the rapid development of modern agriculture, the quality of cultivated land has become a key factor affecting agricultural production efficiency and sustainability. In order to fully understand and grasp the quality of cultivated land and scientifically guide agricultural production, the cultivated land quality grade monitoring and evaluation system came into being. Through continuous monitoring and scientific management measures, the system can significantly improve the physical, chemical and biological properties of the soil, thereby improving the overall health of the soil and enhancing the soil's production capacity.

[0003] Although the existing farmland quality grade monitoring and evaluation system has played a certain role in agricultural production, it still has some shortcomings: the monitoring points are unevenly distributed, and there are monitoring blind spots in some areas, which makes it impossible to fully and accurately reflect the quality of farmland. The monitoring equipment and technical means are relatively backward, making it difficult to achieve real-time monitoring and dynamic analysis of the soil environment.

[0004] In view of this, the inventors proposed a system and method for monitoring and evaluating the quality level of cultivated land to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a system and method for monitoring and evaluating the quality level of cultivated land to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A system for monitoring and evaluating cultivated land quality level, comprising:

[0008] The data acquisition module acquires the physical and chemical property parameters of cultivated soil and obtains parameter data;

[0009] The data management module stores the parameter data in a cloud database, performs encrypted backup, and obtains secure data;

[0010] A data processing module, which pre-processes the security data to obtain data to be trained, establishes a linear regression model, and trains the linear regression model using the data to be trained;

[0011] An intelligent analysis module, which performs soil quality evaluation and future trend prediction based on the linear regression model;

[0012] The decision support module gives specific recommendations for farmland management based on the trends.

[0013] Preferably, the physical and chemical property parameters are measured by arranging a sensor network.

[0014] Preferably, the layout location of the sensor network is determined by analyzing soil characteristics and spatial heterogeneity using GIS technology.

[0015] Preferably, the encrypted backup uses SSL / TLS or AES technology to encrypt and protect the transmitted and stored data, and establishes a regular backup mechanism.

[0016] Preferably, the linear regression model is expressed as:

[0017] y=β0+β1x1+β2x2+...+βnxn+ε

[0018] y: predicted soil quality score;

[0019] x1,x2,...,xn: characteristics that affect soil quality, including soil moisture, temperature, and pH;

[0020] β0: model intercept;

[0021] β1,β2,...,βn: regression coefficients of features;

[0022] ∈: Error term.

[0023] Preferably, the soil quality evaluation is expressed by a soil quality evaluation model, which is expressed as follows:

[0024] Q=w1·P+w2·C+w3·B

[0025] Where Q: soil quality score;

[0026] P: soil physical property score, including soil structure and porosity;

[0027] C: Soil chemical properties score, including pH, organic matter content, and nutrient content;

[0028] B: soil biological property score, including microbial activity and soil biodiversity;

[0029] w1,w2,w3: weights of each characteristic, reflecting their relative importance to the overall soil quality.

[0030] Preferably, the sensor network comprises a soil moisture sensor, a pH sensor and a temperature sensor, and the sensor network transmits parameter data wirelessly.

[0031] Preferably, the management recommendations include farmland management recommendations, planting plan recommendations, pest and disease control strategies, and knowledge base and training.

[0032] A method for monitoring and evaluating cultivated land quality level, comprising:

[0033] Obtain the physical and chemical property parameters of cultivated soil and obtain parameter data;

[0034] The parameter data is stored in a cloud database and encrypted and backed up to obtain secure data;

[0035] Preprocessing the security data to obtain data to be trained, establishing a linear regression model, and using the data to be trained to train the linear regression model;

[0036] Based on the linear regression model, soil quality evaluation and future trend prediction are performed;

[0037] Based on the trends described, specific recommendations for farmland management are given.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] (1) The present invention significantly improves the physical, chemical and biological properties of the soil through continuous monitoring and scientific management measures, thereby improving the overall health of the soil and enhancing the soil's production capacity. By optimizing fertilization and management strategies, the yield of crops is increased, bringing direct economic benefits. Through precise fertilization and ecological restoration measures, the dependence on chemical fertilizers is reduced, production costs are reduced, and pollution to the environment is reduced.

[0040] (2) Through training and practical application, the present invention improves practitioners' understanding and technical level of soil management, enhances their decision-making ability in agricultural management, combines ecological restoration measures with scientific soil management, promotes the development of sustainable agriculture, reduces the consumption of natural resources, and protects the ecological environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A block diagram of a system for monitoring and evaluating the quality of cultivated land of the present invention;

[0042] Figure 2 It is a block diagram of the sensor network composition of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Embodiment 1:

[0045] See also Figure 1 to Figure 2 As shown, a system for monitoring and evaluating the quality level of cultivated land includes:

[0046] The data acquisition module acquires the physical and chemical property parameters of cultivated soil and obtains parameter data;

[0047] The data management module stores the parameter data in a cloud database, performs encrypted backup, and obtains secure data;

[0048] A data processing module, which pre-processes the security data to obtain data to be trained, establishes a linear regression model, and trains the linear regression model using the data to be trained;

[0049] An intelligent analysis module, which performs soil quality evaluation and future trend prediction based on the linear regression model;

[0050] The decision support module gives specific recommendations for farmland management based on the trends.

[0051] Specifically, the physical and chemical property parameters are measured by arranging a sensor network.

[0052] Specifically, the arrangement location of the sensor network is determined by analyzing soil characteristics and spatial heterogeneity using GIS technology.

[0053] Specifically, the encrypted backup uses SSL / TLS or AES technology to encrypt and protect the transmitted and stored data, and establishes a regular backup mechanism.

[0054] Specifically, the linear regression model is expressed as:

[0055] y=β0+β1x1+β2x2+...+βnxn+ε

[0056] y: predicted soil quality score;

[0057] x1,x2,...,xn: characteristics that affect soil quality, including soil moisture, temperature, and pH;

[0058] β0: model intercept;

[0059] β1,β2,...,βn: regression coefficients of features;

[0060] ∈: Error term.

[0061] Specifically, the soil quality evaluation is expressed by a soil quality evaluation model, which is expressed as follows:

[0062] Q=w1·P+w2·C+w3·B

[0063] Where Q: soil quality score;

[0064] P: soil physical property score, including soil structure and porosity;

[0065] C: Soil chemical properties score, including pH, organic matter content, and nutrient content;

[0066] B: soil biological property score, including microbial activity and soil biodiversity;

[0067] w1,w2,w3: weights of each characteristic, reflecting their relative importance to the overall soil quality.

[0068] Specifically, the sensor network includes a soil moisture sensor, a pH sensor and a temperature sensor, and the sensor network transmits parameter data wirelessly.

[0069] Specifically, the management recommendations include arable land management recommendations, planting plan recommendations, pest and disease control strategies, and knowledge base and training.

[0070] As can be seen above, through continuous monitoring and scientific management measures, the physical, chemical and biological properties of the soil have been significantly improved, thereby improving the overall health of the soil and enhancing its production capacity. By optimizing fertilization and management strategies, the yield of crops has been increased, bringing direct economic benefits. Through precision fertilization and ecological restoration measures, the dependence on chemical fertilizers has been reduced, production costs have been reduced, and pollution to the environment has been reduced.

[0071] Through training and practical application, practitioners' awareness and technical level of soil management are improved, and their decision-making ability in agricultural management is enhanced. The combination of ecological restoration measures and scientific soil management promotes the development of sustainable agriculture, reduces the consumption of natural resources, and protects the ecological environment.

[0072] Embodiment 2:

[0073] This design is specifically applied to the field of grain planting. In practical applications, the system can monitor the physical properties of the soil (such as soil texture, structure, water content, etc.), chemical properties (such as pH, nutrient content, heavy metal pollution, etc.) and biological properties (such as microbial diversity, soil enzyme activity, etc.) in real time, so as to comprehensively and accurately evaluate the quality level of cultivated land. Through continuous data collection and analysis, farmers and agricultural management departments can timely understand the changing trends of soil health status, providing a strong basis for formulating scientific farming systems and fertilization strategies.

[0074] In terms of improving soil productivity, the system can guide farmers to accurately apply fertilizers and irrigation according to the actual conditions of the soil, reduce the waste of fertilizers and water, and improve the yield and quality of crops. This refined management can not only bring direct economic benefits, but also reduce production costs and increase farmers' income.

[0075] In addition, the system can also promote the development of sustainable agriculture by combining ecological restoration measures with scientific soil management. By planting green manure crops, crop rotation and fallow, biological control and other methods, the soil ecological environment can be improved, the soil's self-repair ability can be enhanced, the use of fertilizers and pesticides can be reduced, and environmental pollution can be reduced. At the same time, the system can also improve the soil management awareness and technical level of practitioners through training and practical application, enhance their decision-making ability in agricultural management, and promote the development of agriculture in a greener and more environmentally friendly direction.

[0076] Furthermore, an agricultural cooperative hopes to improve the yield and quality of its crops (wheat) and achieve sustainable development by implementing a farmland quality monitoring and evaluation system. An area containing 100 hectares of farmland was selected for one year of monitoring and management.

[0077] 1. Data collection and sensor layout

[0078] Sensor arrangement:

[0079] The analysis was performed using a Geographic Information System (GIS) and sensors were placed in areas with different soil types. A total of 20 sensors were deployed, covering 100 hectares of cultivated land.

[0080] Collected data

[0081] Each sensor collects the following data every hour:

[0082] Soil moisture (unit: %)

[0083] pH

[0084] Soil temperature (unit: ℃)

[0085] Nitrogen, phosphorus and potassium content (unit: mg / kg)

[0086] The following is the data collected from one month of monitoring (partial data):

[0087]

[0088] 2. Data Analysis and Evaluation

[0089] The soil quality score is calculated using the following formula:

[0090] Q=w1·P+w2·C+w3·B

[0091] in:

[0092] P (physical property score): calculated by soil moisture and temperature, set w1=0.4.

[0093] C (chemical property score): calculated based on pH value, nitrogen, phosphorus and potassium content, set w2 = 0.4. B (biological property score): obtained through microbial activity (through laboratory analysis), set w3 = 0.2. Assume that within a measurement cycle, the comprehensive score is as follows:

[0094] Physical property score (P): 75 (out of 100)

[0095] Chemical property score (C): 70 (out of 100)

[0096] Biological characteristics score (B): 60 (out of 100)

[0097] Q=0.4×75+0.4×70+0.2×60=30+28+12=70

[0098] The overall soil quality score was 70, indicating that the soil quality was at a good level (70-85 points were good).

[0099] 3. Decision support and management advice

[0100] Management suggestions:

[0101] Apply organic fertilizers to increase the organic matter content of the soil.

[0102] Maintain soil moisture between 25%-30% after rainfall to optimize crop growth.

[0103] Regularly test microbial activity to assess soil biological health.

[0104] 4. Ecological restoration measures

[0105] Implement ecological restoration measures:

[0106] Plant cover crops (such as ryegrass) to prevent soil erosion and improve soil organic matter.

[0107] Rotate crops to improve the nutrient balance of the soil.

[0108] 5. Effect monitoring and feedback

[0109] Effect Monitoring Two months after implementing the management recommendations, soil quality was monitored again. The new data are as follows:

[0110]

[0111] Re-rating calculation:

[0112] Physical characteristics score increased to 80.

[0113] The chemical properties score was increased to 75.

[0114] The biological characteristics score remained at 60.

[0115] Qnew=0.4×80+0.4×75+0.2×60=32+30+12=74

[0116] Conclusion and results:

[0117] After 6 months of management, the soil quality score increased from 70 to 74. The improvement in soil quality will also lead to an increase in crop yields.

[0118] From the above, we can see that through the application of arable land quality monitoring and evaluation system, precise agricultural management can be achieved, soil quality can be effectively evaluated and managed, soil quality and crop yields can be improved, sustainable agricultural practices can be promoted, crop yields and quality can be increased, and the environment can be protected at the same time.

[0119] Embodiment three:

[0120] A method for monitoring and evaluating cultivated land quality level, comprising:

[0121] Obtain the physical and chemical property parameters of cultivated soil and obtain parameter data;

[0122] The parameter data is stored in a cloud database and encrypted and backed up to obtain secure data;

[0123] Preprocessing the security data to obtain data to be trained, establishing a linear regression model, and using the data to be trained to train the linear regression model;

[0124] Based on the linear regression model, soil quality evaluation and future trend prediction are performed;

[0125] Based on the trends described, specific recommendations for farmland management are given.

[0126] Its beneficial effects are the same as the technical effects of the embodiment of the cultivated land quality grade monitoring and evaluation system, which will not be repeated here.

[0127] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0128] In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other.

[0129] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A system for monitoring and evaluating cultivated land quality, characterized in that: include: The data acquisition module acquires the physical, chemical and biological properties of cultivated soil and obtains parameter data; The data management module stores the parameter data in a cloud database, performs encrypted backup, and obtains secure data; A data processing module pre-processes the security data to obtain training data, establishes a linear regression model, and trains the linear regression model using the training data; An intelligent analysis module, which performs soil quality evaluation and future trend prediction based on the linear regression model; The decision support module gives specific recommendations for farmland management based on the trends.

2. The system for monitoring and evaluating cultivated land quality according to claim 1, characterized in that: The physical and chemical property parameters are measured by arranging a sensor network.

3. The system for monitoring and evaluating cultivated land quality according to claim 1, characterized in that: The layout of the sensor network is determined by analyzing soil characteristics and spatial heterogeneity using GIS technology.

4. The system for monitoring and evaluating cultivated land quality according to claim 1, characterized in that: The encrypted backup uses SSL / TLS or AES technology to encrypt and protect the transmitted and stored data, and establishes a regular backup mechanism.

5. The system for monitoring and evaluating cultivated land quality according to claim 1, characterized in that: The linear regression model is expressed as: y=β0+β1x1+β2x2+...+βnxn+ε y: predicted soil quality score; x1,x2,...,xn: characteristics that affect soil quality, including soil moisture, temperature, and pH; β0: model intercept; β1,β2,...,βn: regression coefficients of features; ∈: error term.

6. The system for monitoring and evaluating cultivated land quality according to claim 1, characterized in that: The soil quality evaluation is expressed by a soil quality evaluation model, which is expressed as follows: Q=w1·P+w2·C+w3·B Where Q: soil quality score; P: soil physical property score, including soil structure and porosity; C: Soil chemical properties score, including pH, organic matter content, and nutrient composition; B: soil biological property score, including microbial activity and soil biodiversity; w1, w2, w3: weights of each characteristic, reflecting their relative importance to the overall soil quality.

7. The system for monitoring and evaluating cultivated land quality according to claim 2, characterized in that: The sensor network includes a soil moisture sensor, a pH sensor and a temperature sensor, and the sensor network transmits parameter data wirelessly.

8. The system for monitoring and evaluating cultivated land quality according to claim 1, characterized in that: The management recommendations include farmland management advice, planting plan recommendations, pest and disease control strategies, and knowledge base and training.

9. A method for monitoring and evaluating the quality level of cultivated land, characterized in that: include: Obtain the physical and chemical property parameters of cultivated soil and obtain parameter data; The parameter data is stored in a cloud database and encrypted and backed up to obtain secure data; Preprocessing the security data to obtain training data, establishing a linear regression model, and training the linear regression model using the training data; Based on the linear regression model, soil quality evaluation and future trend prediction are performed; Based on the trends described, specific recommendations for farmland management are given.

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