Ploughing quality monitoring system based on sensing data analysis

Abstract

The invention relates to the technical field of cultivated land quality monitoring, and particularly discloses a cultivated land quality monitoring system based on sensing data analysis, which is characterized in that relevant parameters of cultivated land quality are acquired in real time based on a sensor, quality parameter data of different areas of cultivated land are acquired according to the terrain of the cultivated land, the reliability of a monitoring result is ensured, and then the monitoring result is stored in a database. The cultivated land quality is analyzed from the water retention and fertilizer retention performance of cultivated land through the data processing and analysis module, the total quality of the cultivated land is analyzed by integrating the water retention and fertilizer retention performance of the cultivated land, the cultivated land quality is comprehensively evaluated through fusion and analysis of multi-source data, and different quality problems of the cultivated land can be found in time. Scientific decision basis is provided for agricultural production, reasonable fertilization and irrigation are facilitated, and the yield and quality of crops are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of farmland quality monitoring, and in particular to a farmland quality monitoring system based on sensor data analysis. Background Art

[0002] The quality of cultivated land is the foundation of agricultural production and directly affects the yield and quality of crops. Traditional methods of monitoring cultivated land quality mainly rely on manual sampling and laboratory analysis, which have problems such as low efficiency, high cost, and poor real-time performance. With the development of the Internet of Things and sensor technology, it has become possible to use sensors to collect cultivated land environmental data in real time.

[0003] The existing cultivated land quality monitoring system based on sensor data analysis mainly compares the measured quality parameters with the set threshold value. When the quality parameter monitoring value is greater than or equal to the set threshold value, it means that the parameter does not meet the requirements, that is, the cultivated land quality is unqualified. This method can only monitor the cultivated land parameters that obviously do not meet the requirements among the cultivated land quality parameters, and cannot reflect the dynamic changes of cultivated land quality in real time and comprehensively. Therefore, the present invention provides a cultivated land quality monitoring system based on sensor data analysis. Summary of the invention

[0004] The purpose of the present invention is to provide a farmland quality monitoring system based on sensor data analysis to solve the above technical problems:

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A farmland quality monitoring system based on sensor data analysis, the platform comprising: a sensor network module, a data transmission module, a data processing and analysis module and a monitoring platform;

[0007] The sensor network module includes multiple groups of sensors, which are arranged in the farmland according to the farmland area and terrain, and are used to collect farmland data in real time;

[0008] The data transmission module transmits the data collected by the sensor to the data processing and analysis module through wireless transmission technology;

[0009] The data processing and analysis module is used to process and analyze the collected data and evaluate the quality of cultivated land;

[0010] The monitoring platform is used for users to view farmland quality monitoring data and analysis results in real time through terminal devices.

[0011] As a further description of the solution of the present invention, the working process of the sensor network module includes:

[0012] Taking the drainage outlet as a reference, the cultivated land is divided into two areas: the area near the drainage outlet and the area far from the drainage outlet;

[0013] Divide the area near the drainage outlet into n sub - regions, and the area far from the drainage outlet into m sub - regions. Real - time collect the soil humidity of each sub - region through humidity sensors respectively;

[0014] Quickly scan through a soil conductivity meter and divide the cultivated land into two regions: high - fertilizer region and low - fertilizer region;

[0015] Divide the high - fertilizer region into x sub - regions and the low - fertilizer region into y sub - regions. Real - time collect the soil pH value of each sub - region through pH sensors respectively;

[0016] Real - time collect the content of various nutrients in the high - fertilizer region and the low - fertilizer region through multiple groups of sensors respectively.

[0017] As a further description of the solution of the present invention, the working process of the sensor network module further includes:

[0018] Real - time measure the change of soil humidity data in the i - th sub - region over time, and fit the function H i (t) of the soil humidity in the i - th sub - region changing with time according to the change situation;

[0019] Real - time measure the change of soil humidity data in the j - th sub - region over time, and fit the function H j (t) of the soil humidity in the j - th sub - region changing with time according to the change situation;

[0020] Real - time measure the change of the soil pH value in the k - th sub - region over time, and fit the function W k (t) of the soil pH value in the k - th sub - region changing with time according to the change situation;

[0021] Real - time measure the change of the soil pH value in the o - th sub - region over time, and fit the function W o (t) of the soil pH value in the o - th sub - region changing with time according to the change situation;

[0022] Wherein, i belongs to n, j belongs to m, k belongs to x, and o belongs to y.

[0023] As a further description of the solution of the present invention, the working process of the data processing and analysis module includes:

[0024] Step S1: Evaluate the water - retaining quality of the cultivated land according to the soil humidity data;

[0025] Step S2: Evaluate the fertilizer - retaining quality of the cultivated land according to the soil pH data;

[0026] Step S3: Evaluate the overall quality of the cultivated land according to the water - retaining quality and fertilizer - retaining quality of the cultivated land.

[0027] As a further description of the solution of the present invention, the specific working process of the step S1 includes:

[0028] Construct a rectangular coordinate system xoy, and generate a curve L according to the function H i (t) of the soil humidity change with time in the i-th sub-region i , and generate a curve L according to the function H j (t) of the soil humidity change with time in the j-th sub-region j ;

[0029] Obtain the area S enclosed by the generated curve L i and the x-axis, obtain the area S enclosed by L i and the x-axis, and construct a mathematical model for the water retention quality evaluation coefficient, and the expression is: j j

[0030]

[0031]

[0032] In the formula, H i represents the soil humidity in the i-th sub-region at the current moment, H j represents the soil humidity in the j-th sub-region at the current moment, θ represents the weight coefficient corresponding to the cumulative change of humidity data, α and β respectively represent the weight coefficients corresponding to the near area and the far area of the drainage outlet, and A is the water retention quality evaluation coefficient;

[0033] Compare the water retention quality evaluation coefficient A with the set threshold interval. If the water retention quality evaluation coefficient A belongs to the corresponding threshold interval, it means that the water retention quality is qualified. If the water retention quality evaluation coefficient A does not belong to the corresponding threshold interval, it means that the water retention quality is unqualified.

[0033] As a further description of the solution of the present invention, the specific working process of the step S2 includes:

[0034] Construct a rectangular coordinate system xoy, and generate a curve L according to the function W k (t) of the soil pH value change with time in the k-th sub-region k , and generate a curve L according to the function W o (t) of the soil pH value change with time in the o-th sub-region o ;

[0035] Obtain the area S enclosed by the generated curve L k and the x-axis, obtain the area S enclosed by L k and the x-axis, and construct a mathematical model for the fertilizer retention quality evaluation coefficient, and the expression is: o o

[0036]

[0037] ​​Where, W k represents the pH value of the k-th sub-region at the current moment, and W o represents the pH value of the o-th sub-region at the current moment. represents the weight coefficient corresponding to the cumulative change of pH value data. γ and δ respectively represent the weight coefficients corresponding to the high-fertilizer area and the low-fertilizer area. B is the fertilizer retention quality evaluation coefficient. p is the number of nutrient items collected. q1 represents the content of the q-th nutrient in the high-fertilizer area, q2 represents the content of the q-th nutrient in the low-fertilizer area, and ω q represents the weight coefficient corresponding to the content of the q-th nutrient;

[0038] Compare the fertilizer retention quality evaluation coefficient B with the set threshold interval. If the fertilizer retention quality evaluation coefficient B belongs to the corresponding threshold interval, it indicates that the fertilizer retention quality is qualified. If the fertilizer retention quality evaluation coefficient B does not belong to the corresponding threshold interval, it indicates that the fertilizer retention quality is unqualified.

[0039] As a further description of the solution of the present invention, the specific working process of the step S3 includes:

[0040] Construct a mathematical model for the overall cultivated land quality evaluation coefficient, and the expression is:

[0041]

[0042] Where, [A1, A2] is the threshold interval corresponding to the water retention quality evaluation coefficient, [B1, B2] is the threshold interval corresponding to the fertilizer retention quality evaluation coefficient, and C is the overall cultivated land quality evaluation coefficient;

[0043] Compare the overall cultivated land quality evaluation coefficient C with the set threshold interval. If the overall cultivated land quality evaluation coefficient C belongs to the corresponding threshold interval, it indicates that the overall cultivated land quality is qualified. If the overall cultivated land quality evaluation coefficient C does not belong to the corresponding threshold interval, it indicates that the overall cultivated land quality is unqualified.

[0044] As a further description of the solution of the present invention, when the monitoring platform is used, the user can view and analyze the cultivated land quality monitoring data by registering and logging in to the monitoring platform.

[0045] Beneficial effects of the present invention: 1. The present invention is based on sensors to collect real-time parameters related to cultivated land quality, and collects quality parameter data of different regions of cultivated land according to the terrain of the cultivated land to ensure the reliability of the monitoring results. Then, through the data processing and analysis module, the cultivated land quality is analyzed from the water retention and fertilizer retention performances of the cultivated land respectively, and the overall quality of the cultivated land is analyzed by integrating the water retention and fertilizer retention performances of the cultivated land. The fusion and analysis of multi-source data comprehensively evaluate the cultivated land quality, and can timely discover different quality problems of the cultivated land, providing a scientific decision-making basis for agricultural production, helping to apply fertilizers and irrigate reasonably, and improving the yield and quality of crops. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] Figure 1 It is a schematic structural diagram of the cultivated land quality monitoring system based on sensor data analysis of the present invention. Specific embodiments

[0048] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0049] Please refer to Figure 1 As shown, the present invention provides a cultivated land quality monitoring system based on sensor data analysis. The platform includes: a sensor network module, a data transmission module, a data processing and analysis module, and a monitoring platform;

[0050] The sensor network module includes multiple groups of sensors, which are arranged in the cultivated land according to the cultivated land area and terrain for real-time collection of cultivated land data;

[0051] The data transmission module transmits the data collected by the sensors to the data processing and analysis module through wireless transmission technology;

[0052] The data processing and analysis module is used to process and analyze the collected data and evaluate the cultivated land quality status;

[0053] The monitoring platform is used for users to view the cultivated land quality monitoring data and analysis results in real time through terminal devices.

[0054] Through the above technical solutions, the present invention collects the parameters related to the cultivated land quality in real time based on sensors, and collects the quality parameter data of different regions of the cultivated land according to the terrain of the cultivated land to ensure the reliability of the monitoring results. Then, the data processing and analysis module analyzes the cultivated land quality from the water retention and fertilizer retention performance of the cultivated land respectively, and comprehensively analyzes the overall quality of the cultivated land by integrating the water retention and fertilizer retention performance of the cultivated land. The fusion and analysis of multi-source data comprehensively evaluate the cultivated land quality, and can timely discover different quality problems of the cultivated land, providing a scientific decision-making basis for agricultural production, helping to apply fertilizers and irrigate reasonably, and improving the yield and quality of crops.

[0055] As a further description of the solution of the present invention, the working process of the sensor network module includes:

[0056] Taking the drainage outlet as a reference object, the cultivated land is divided into two areas: the near area of the drainage outlet and the far area of the drainage outlet;

[0057] Divide the area near the drainage outlet into n sub - regions and the area far from the drainage outlet into m sub - regions, and respectively collect the soil humidity of each sub - region in real - time through humidity sensors;

[0058] Divide the cultivated land into two regions, a high - fertilizer region and a low - fertilizer region, by rapid scanning with a soil conductivity meter;

[0059] Divide the high - fertilizer region into x sub - regions and the low - fertilizer region into y sub - regions, and respectively collect the soil pH value of each sub - region in real - time through pH sensors;

[0060] Respectively collect the contents of various nutrients in the two regions of the high - fertilizer region and the low - fertilizer region in real - time through multiple groups of sensors.

[0061] As a further description of the solution of the present invention, the working process of the sensor network module further includes:

[0062] Measure in real - time the change of the soil humidity data of the i - th sub - region over time, and fit the function H i (t) of the soil humidity change of the i - th sub - region over time according to the change;

[0063] Measure in real - time the change of the soil humidity data of the j - th sub - region over time, and fit the function H j (t) of the soil humidity change of the j - th sub - region over time according to the change;

[0064] Measure in real - time the change of the soil pH value of the k - th sub - region over time, and fit the function W k (t) of the soil pH value change of the k - th sub - region over time according to the change;

[0065] Measure in real - time the change of the soil pH value of the o - th sub - region over time, and fit the function W o (t) of the soil pH value change of the o - th sub - region over time according to the change;

[0066] Wherein, i belongs to n, j belongs to m, k belongs to x, and o belongs to y.

[0067] Through the above - mentioned technical solution, this embodiment provides a method for collecting cultivated land parameters based on sensors. Considering that different positions of the same cultivated land have different impacts on the water - retaining quality and fertilizer - retaining quality of the cultivated land, with the drainage outlet as a reference object, the cultivated land is divided into two regions, the area near the drainage outlet and the area far from the drainage outlet. Then, grid division is carried out on the area near the drainage outlet and the area far from the drainage outlet to facilitate the investigation of the consistency of the water - retaining quality. By rapid scanning with a soil conductivity meter, the cultivated land is divided into two regions, a high - fertilizer region and a low - fertilizer region. Then, grid division is carried out on the high - fertilizer region and the low - fertilizer region to facilitate the investigation of the consistency of the fertilizer - retaining quality. Real - time monitoring of the change of the quality parameters of each sub - region over time is carried out to dynamically monitor the quality of the cultivated land.

[0068] As a further description of the solution of the present invention, the working process of the data processing and analysis module includes:

[0069] Step S1: Evaluate the water retention quality of the cultivated land according to the soil moisture data;

[0070] Step S2: Evaluate the fertilizer retention quality of the cultivated land according to the soil pH data;

[0071] Step S3: Evaluate the overall quality of the cultivated land according to the water retention quality and fertilizer retention quality of the cultivated land.

[0072] As a further description of the solution of the present invention, the specific working process of step S1 includes:

[0073] Construct a rectangular coordinate system xoy, and generate a curve L according to the soil moisture change function H i (t) of the i-th sub-region, i and generate a curve L according to the soil moisture change function H j (t) of the j-th sub-region; j ;

[0074] Obtain the area S enclosed by the generated curve L i and the x-axis, obtain the area S enclosed by L i and the x-axis, and construct a mathematical model of the water retention quality evaluation coefficient, the expression of which is: j j i In the formula, H

[0075]

[0076] represents the soil moisture of the i-th sub-region at the current moment, H i represents the soil moisture of the j-th sub-region at the current moment, θ represents the weight coefficient corresponding to the cumulative change of the moisture data, α and β respectively represent the weight coefficients corresponding to the near area and far area of the drainage outlet, and A is the water retention quality evaluation coefficient; j Compare the water retention quality evaluation coefficient A with the set threshold interval. If the water retention quality evaluation coefficient A belongs to the corresponding threshold interval, it means that the water retention quality is qualified. If the water retention quality evaluation coefficient A does not belong to the corresponding threshold interval, it means that the water retention quality is unqualified.

[0077]

[0078] ​Through the above technical scheme, this embodiment provides a method for evaluating the water retention quality of cultivated land, and generates corresponding function curves according to the soil moisture change data of each sub-area near the drainage outlet and the area far from the drainage outlet over time, and then analyzes the water retention consistency of each sub-area near the drainage outlet and the area far from the drainage outlet in combination with the cumulative change data and real-time data of soil moisture, and weights the analysis results of the near drainage outlet and the area far from the drainage outlet to obtain a water retention quality evaluation coefficient, and compares the water retention quality evaluation coefficient with the set threshold interval. If the water retention quality evaluation coefficient belongs to the corresponding threshold interval, it means that the water retention quality is qualified, and if the water retention quality evaluation coefficient does not belong to the corresponding threshold interval, it means that the water retention quality is unqualified.

[0079] As a further description of the solution of the present invention, the specific working process of step S2 includes:

[0080] Construct the rectangular coordinate system xoy according to the soil pH value of the kth sub-area over time function W k (t) Generate curve L k , according to the soil pH value of the oth sub-area changing with time function W o (t) Generate curve L o ;

[0081] Get the generated curve L k The area S enclosed by the x-axis k , get L o The area S enclosed by the x-axis o , construct the mathematical model of fertilizer quality evaluation coefficient, the expression is:

[0082]

[0083] Where W k represents the pH value of the kth sub-region at the current moment, W o represents the pH value of the oth sub-region at the current moment, represents the weight coefficient corresponding to the cumulative change of pH value data, γ and δ represent the weight coefficients corresponding to the high fertilizer area and the low fertilizer area respectively, B is the fertilizer quality assessment coefficient, p is the number of nutrient items collected, q1 represents the nutrient content of the qth item in the high fertilizer area, q2 represents the nutrient content of the qth item in the low fertilizer area, ω q represents the weight coefficient corresponding to the qth nutrient content;

[0084] The fertilizer preservation quality assessment coefficient B is compared with the set threshold interval. If the fertilizer preservation quality assessment coefficient B belongs to the corresponding threshold interval, it means that the fertilizer preservation quality is qualified. If the fertilizer preservation quality assessment coefficient B does not belong to the corresponding threshold interval, it means that the fertilizer preservation quality is unqualified.

[0085] Through the above technical solution, this embodiment provides a method for evaluating the fertilizer retention quality of cultivated land. According to the data of the change of soil pH value over time in each sub-region of the high-fertilizer area and the low-fertilizer area respectively, the corresponding function curves are generated. Then, by combining the cumulative change data and real-time data of the soil pH value, the water retention consistency of each sub-region in the high-fertilizer area and the low-fertilizer area is analyzed. Furthermore, the real-time nutrient value data of the high-fertilizer area and the low-fertilizer area are integrated, and the fertilizer retention quality evaluation coefficients are obtained by weighting the analysis results of the high-fertilizer area and the low-fertilizer area respectively. The fertilizer retention quality evaluation coefficient is compared with the set threshold range. If the fertilizer retention quality evaluation coefficient belongs to the corresponding threshold range, it indicates that the fertilizer retention quality is qualified. If the fertilizer retention quality evaluation coefficient does not belong to the corresponding threshold range, it indicates that the fertilizer retention quality is unqualified.

[0086] As a further description of the solution of the present invention, the specific working process of step S3 includes:

[0087] Construct a mathematical model for the overall quality evaluation coefficient of cultivated land, and the expression is:

[0088]

[0089] In the formula, [A1, A2] is the threshold range corresponding to the water retention quality evaluation coefficient,

[0090] [B1, B2] is the threshold range corresponding to the fertilizer retention quality evaluation coefficient, and C is the overall quality evaluation coefficient of cultivated land;

[0091] Compare the overall quality evaluation coefficient C of cultivated land with the set threshold range. If the overall quality evaluation coefficient C of cultivated land belongs to the corresponding threshold range, it indicates that the overall quality of cultivated land is qualified. If the overall quality evaluation coefficient C of cultivated land does not belong to the corresponding threshold range, it indicates that the overall quality of cultivated land is unqualified.

[0092] Through the above technical solution, this embodiment provides a method for evaluating the overall quality of cultivated land. The water retention quality evaluation coefficient and the fertilizer retention quality evaluation coefficient are respectively compared with the corresponding threshold standard values, and then through the formula Calculate the overall quality evaluation coefficient of cultivated land, and compare the overall quality evaluation coefficient of cultivated land with the set threshold range. If the overall quality evaluation coefficient of cultivated land belongs to the corresponding threshold range, it indicates that the overall quality of cultivated land is qualified. If the overall quality evaluation coefficient of cultivated land does not belong to the corresponding threshold range, it indicates that the overall quality of cultivated land is unqualified.

[0093] As a further description of the solution of the present invention, when the monitoring platform is used, the user can view and analyze the cultivated land quality monitoring data by registering and logging in to the monitoring platform.

[0094] It should be noted that all parameter operations in the present invention are simple numerical operations without considering the dimension. The setting of all weight coefficients and thresholds are empirical values and will not be elaborated here.

[0095] The above has described in detail an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. A farmland quality monitoring system based on sensor data analysis, characterized in that: The platform includes: a sensor network module, a data transmission module, a data processing and analysis module and a monitoring platform; The sensor network module includes multiple groups of sensors, which are arranged in the farmland according to the farmland area and terrain, and are used to collect farmland data in real time; The data transmission module transmits the data collected by the sensor to the data processing and analysis module through wireless transmission technology; The data processing and analysis module is used to process and analyze the collected data and evaluate the quality of cultivated land; The monitoring platform is used for users to view farmland quality monitoring data and analysis results in real time through terminal devices.

2. The cultivated land quality monitoring system based on sensor data analysis according to claim 1 is characterized in that: The working process of the sensor network module includes: Taking the drainage outlet as a reference, the cultivated land is divided into two areas: the area near the drainage outlet and the area far from the drainage outlet; The area near the drain outlet is divided into n sub-areas, and the area far from the drain outlet is divided into m sub-areas, and the soil moisture of each sub-area is collected in real time through humidity sensors; Through a quick scan with a soil conductivity meter, the cultivated land is divided into two areas: high-fertility area and low-fertility area; The high-fertilizer area is divided into x sub-areas, and the low-fertilizer area is divided into y sub-areas. The pH value of the soil in each sub-area is collected in real time through the pH sensor; Multiple sets of sensors are used to collect real-time data on various nutrient contents in the high-fertilizer area and the low-fertilizer area.

3. The cultivated land quality monitoring system based on sensor data analysis according to claim 2 is characterized in that: The working process of the sensor network module also includes: Real-time measurement of the soil moisture data of the ith sub-area over time, and fitting the soil moisture change function H of the ith sub-area over time according to the change i (t); Real-time measurement of the soil moisture data of the j-th sub-area over time, and fitting the soil moisture change function H of the j-th sub-area over time according to the change j (t); Real-time measurement of the soil pH value of the k-th sub-area over time, and fitting the soil pH value over time function W of the k-th sub-area according to the change k (t); Real-time measurement of the soil pH value of the oth sub-area over time, and fitting the soil pH value over time function W of the oth sub-area according to the change o (t); Among them, i belongs to n, j belongs to m, k belongs to x, and o belongs to y.

4. The cultivated land quality monitoring system based on sensor data analysis according to claim 3 is characterized in that: The working process of the data processing and analysis module includes: Step S1, evaluating the water retention quality of cultivated land according to soil moisture data; Step S2, evaluating the fertilizer retention quality of the cultivated land according to the soil pH data; Step S3: Evaluate the overall quality of the cultivated land according to its water retention quality and fertilizer retention quality.

5. The cultivated land quality monitoring system based on sensor data analysis according to claim 4 is characterized in that: The specific working process of step S1 includes: Construct the rectangular coordinate system xoy according to the soil moisture variation function H of the i-th sub-area i (t) Generate curve L i , according to the soil moisture variation function H of the jth sub-area j (t) Generate curve L j ; Get the generated curve L i The area S enclosed by the x-axis i , get L j The area S enclosed by the x-axis j , construct the mathematical model of water conservation quality assessment coefficient, the expression is: In the formula, H i represents the soil moisture of the ith sub-region at the current moment, H j represents the soil moisture of the jth sub-region at the current moment, θ represents the weight coefficient corresponding to the cumulative change of humidity data, α and β represent the weight coefficients corresponding to the area near the drainage outlet and the area far from the drainage outlet, respectively, and A is the water retention quality assessment coefficient; The water retention quality assessment coefficient A is compared with the set threshold interval. If the water retention quality assessment coefficient A belongs to the corresponding threshold interval, it means that the water retention quality is qualified. If the water retention quality assessment coefficient A does not belong to the corresponding threshold interval, it means that the water retention quality is unqualified.

6. The cultivated land quality monitoring system based on sensor data analysis according to claim 4 is characterized in that: The specific working process of step S2 includes: Construct the rectangular coordinate system xoy according to the soil pH value of the kth sub-area over time function W k (t) Generate curve L k , according to the soil pH value of the oth sub-area changing with time function W o (t) Generate curve L o ; Get the generated curve L k The area S enclosed by the x-axis k , get L o The area S enclosed by the x-axis o , construct the mathematical model of fertilizer quality evaluation coefficient, the expression is: Where W k represents the pH value of the kth sub-region at the current moment, W o represents the pH value of the oth sub-region at the current moment, represents the weight coefficient corresponding to the cumulative change of pH value data, γ and δ represent the weight coefficients corresponding to the high fertilizer area and the low fertilizer area respectively, B is the fertilizer quality assessment coefficient, p is the number of nutrient items collected, q1 represents the nutrient content of the qth item in the high fertilizer area, q2 represents the nutrient content of the qth item in the low fertilizer area, ω q represents the weight coefficient corresponding to the qth nutrient content; The fertilizer preservation quality assessment coefficient B is compared with the set threshold interval. If the fertilizer preservation quality assessment coefficient B belongs to the corresponding threshold interval, it means that the fertilizer preservation quality is qualified. If the fertilizer preservation quality assessment coefficient B does not belong to the corresponding threshold interval, it means that the fertilizer preservation quality is unqualified.

7. The cultivated land quality monitoring system based on sensor data analysis according to claim 4 is characterized in that: The specific working process of step S3 includes: The mathematical model of the overall quality assessment coefficient of cultivated land is constructed, and the expression is: In the formula, [A1, A2] is the threshold interval corresponding to the water retention quality assessment coefficient, [B1, B2] is the threshold interval corresponding to the fertilizer conservation quality assessment coefficient, and C is the overall quality assessment coefficient of cultivated land; Compare the overall quality assessment coefficient C of cultivated land with the set threshold interval. If the overall quality assessment coefficient C of cultivated land belongs to the corresponding threshold interval, it means that the overall quality of cultivated land is qualified. If the overall quality assessment coefficient C of cultivated land does not belong to the corresponding threshold interval, it means that the overall quality of cultivated land is unqualified.

8. The cultivated land quality monitoring system based on sensor data analysis according to claim 1 is characterized in that: When the monitoring platform is used, users can view and analyze farmland quality monitoring data by registering and logging into the monitoring platform.

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