Digital agricultural planting equipment control method and system

Abstract

The invention discloses a digital agricultural planting equipment control method and system, relates to the technical field of digital agriculture, and aims to solve the problems of slow growth, low yield and the like of variety-changing crops at the same planting position. A plurality of to-be-determined seed changing positions are screened out in the seed changing area according to the regional environment data and the seed changing crop data, soil data of the to-be-determined seed changing positions are collected and compared with the seed changing crop data, the crop nutrition absorption degree is analyzed, and the crop growth condition of the to-be-determined seed changing positions after seed changing is predicted; carrying out seed changing experiment work at the to-be-determined seed changing position, detecting the true value of the crop growth condition at the to-be-determined seed changing position, comparing the true value with the predicted value, if the difference is small, carrying out matching recording on the to-be-determined seed changing position and the to-be-changed crop, and if the difference is large, judging whether the recorded seed changing position meets the seed changing requirement or not according to the requirement of the to-be-changed crop; if not, remedial measures are taken to obtain more seed changing positions.

Description

Technical Field

[0001] The present invention relates to the field of digital agriculture technology, and more specifically, to a digital agriculture planting equipment control method and system. Background Art

[0002] Digital agricultural technology refers to the use of modern information technology and data analysis tools to improve agricultural production efficiency, management and sustainability. The application of digital agricultural technology in crop planting can accurately control and manage crops and increase crop yields.

[0003] The existing technology has the following deficiencies:

[0004] In the past, when crops were replaced in the same area, the differences in the replaced crops and the adaptability of the planting area were not taken into consideration. New crops were directly planted in the original planting pits. When the replaced crops were too different from the original crops or were not suitable for the original planting locations, problems such as slow crop growth and decreased yields would occur. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a digital agricultural planting equipment control method and system, which screens and records the replacement locations in the planting area by analyzing the differences in the replacement crops and the degree of matching between the adaptation conditions of the planting area and the replacement crops 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 digital agricultural planting equipment control method comprises the following steps:

[0008] Step S1, obtaining regional environmental data and crop replacement data, and setting a threshold based on the regional environmental data and crop replacement data to select multiple locations to be replaced;

[0009] Step S2, collecting soil data of each pending replanting location and crop planting history data for comparative analysis, determining the nutrient absorption degree of the replanted crop based on the analysis results, and predicting the growth of the crop after replanting at the pending replanting location to obtain a growth prediction value;

[0010] Step S3, conducting a crop replacement experiment at the to-be-determined crop replacement location and detecting the actual growth of the crop at the to-be-determined crop replacement location to obtain a true growth value, and analyzing crop replacement differences by comparing the predicted growth value with the true growth value;

[0011] Step S4: screening the locations to be changed according to the crop change differences and recording them or lowering the screening standards to meet the planting requirements of the changed crops.

[0012] In a preferred embodiment, in step S1, the regional environmental data is the location slope; the crop change data is the crop water lock increment;

[0013] The position slope is determined by detecting the height distribution of the regional environment, taking the slope zero point of the crop regional environment with the average height, screening out the locations in the regional environment that are lower than the average height, and taking the quotient of the screening location height and the average height as the position slope;

[0014] The increase in crop water retention is obtained by cultivating the crops before and after the crop change under the same conditions, and analyzing and testing the soil moisture content of the crops before and after the crop change within the same time period for comparison.

[0015] In a preferred embodiment, in step S1, the steps of setting a threshold to screen the positions to be determined are as follows:

[0016] Set the initial slope threshold: Use the percentile method to set the initial slope threshold;

[0017] Adjust the initial slope threshold: the ratio of the initial slope threshold to the crop water lock increment is used as the adjusted slope threshold;

[0018] Screening of pending crop replacement locations: Compare the slope of each location in the regional environment with the slope threshold, and screen out locations below the slope threshold as pending crop replacement locations.

[0019] In a preferred embodiment, in step S2, the soil data of the to-be-determined replanting location is the nutrient content ratio in the soil of the to-be-determined replanting location, and the crop planting history data includes a crop adaptive nutrient ratio table and the growth status of the crops under the adaptive nutrient ratio.

[0020] In a preferred embodiment, in step S2, when determining the nutrient absorption degree of the replacement crop, the crop adaptive nutrient ratio is obtained from the crop adaptive nutrient ratio table, and the Chebyshev distance is calculated using the nutrient content ratio in the soil and the adaptive nutrient ratio of the replacement crop. The nutrient absorption degree of the replacement crop is determined based on the judgment rule set according to the Chebyshev distance as follows:

[0021] Rule 1: When the Chebyshev distance calculated for the undetermined position is zero, the output result is 1;

[0022] Rule 2: When the Chebyshev distance calculated for the undetermined replacement position is not zero, mark it as d, and the output result is d / (1+d);

[0023] Determine the degree of nutrient absorption of crops: When the output result is 1, it is determined that the nutrient absorption degree of the replaced crops is normal; otherwise, it is determined that the nutrient absorption degree of the replaced crops is abnormal, and the output result is recorded.

[0024] In a preferred embodiment, in step S2, the system predicts the growth of the crop after the crop is replaced at the designated replacement location based on the nutrient absorption degree of the replaced crop. The prediction process is as follows:

[0025] Process 1: Determine the growth of the crop under the appropriate nutrient ratio for the proposed replacement location and record the average quality of the crop at maturity;

[0026] Process 2: Calculate the growth prediction value of the crop to be replaced based on the output result of the pending replacement position, and multiply the average mass of the crop to be replaced at maturity by the output result as the growth prediction value of the crop to be replaced;

[0027] Process 3: Output the growth prediction value of the replacement crop.

[0028] In a preferred embodiment, in step S3, a crop replacement experiment is conducted in the to-be-determined crop replacement location to obtain the actual growth value of the crop to be replaced. After receiving the actual growth value of the crop to be replaced, the system numbers each to-be-determined crop replacement location, merges the actual growth value into an actual crop replacement dataset according to the number, and merges the output predicted growth values ​​of the crop to be replaced into a predicted crop replacement dataset according to the number. The crop replacement differences are analyzed based on the merged dataset. The specific steps are as follows:

[0029] Step 1: Difference the data with the same number in the predicted seed-changing data set and the actual seed-changing data set to obtain the seed-changing difference value of the corresponding numbered undetermined seed-changing position;

[0030] Step 2: Set a screening rule. If the calculated value of the seed-changing difference is a positive number or zero, the seed-changing difference of the pending seed-changing position is judged to be small; if the calculated value of the seed-changing difference is a negative number, the seed-changing difference of the pending seed-changing position is judged to be large.

[0031] Step 3: Screening: when the difference between the pending replacement positions is large, mark it as a high-quality replacement position; when the difference between the pending replacement positions is small, mark it as an alternative replacement position.

[0032] In a preferred embodiment, in step S4, the system retains the information of high-quality replacement locations and replacement crops, stores them in a database and counts the number of high-quality replacement locations, and determines whether the planting requirements of the replacement crops are met based on the number of high-quality replacement locations. If the planting requirements are not met, remedial measures are taken.

[0033] A digital agricultural planting equipment control system, used to implement the above-mentioned digital agricultural planting equipment control method, including a data acquisition module, a seed change position analysis module, a seed change position determination module and a yield remediation module;

[0034] The data acquisition module is used to collect regional environmental data, crop replacement data, soil data and crop planting history data, and transmit them to subsequent modules for analysis and processing;

[0035] The replanting location analysis module is used to receive regional environmental data and replanting crop data and screen out pending replanting locations, and transmit the pending replanting locations to the replanting location determination module;

[0036] The replanting location determination module is used to receive soil data and crop planting history data, make predictions and comparisons on the replanting locations to be determined, and classify the replanting locations into high-quality replanting locations and alternative replanting locations;

[0037] The yield remediation module is used to record high-quality replacement locations and count their numbers for comparison with replacement crop planting needs, and use alternative replacement locations for remedial treatment.

[0038] The technical effects and advantages of the digital agricultural planting equipment control method and system of the present invention are as follows:

[0039] The present invention collects environmental data and crop data of the transplanting area, integrates the regional environmental data and the crop data to screen out a plurality of pending transplanting locations in the transplanting area, delineates directions for subsequent determination of the transplanting locations, collects soil data and crop data of each pending transplanting location, compares and analyzes the degree of crop nutrient absorption, and predicts the crop growth conditions of the pending transplanting locations after transplanting, conducts transplanting experiments at the pending transplanting locations, detects the true value of the crop growth conditions at the pending transplanting locations, compares the true value with the predicted value, sets a different comparison range for each pending transplanting location according to the degree of crop nutrient absorption, and dynamically predicts each pending transplanting location, thereby improving the limitation of setting the same classification threshold for different transplanting locations. If the difference is small, the pending transplanting location and the transplanting crop are matched and recorded. If the difference is large, it is judged whether the recorded transplanting location meets the transplanting requirements according to the transplanting crop requirements. If not, the screening standard is lowered to obtain more transplanting locations. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a schematic diagram of a digital agricultural planting equipment control method of the present invention.

[0041] Figure 2 This is a flow chart of a digital agricultural planting equipment control system of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0043] The present invention collects environmental data and data on crops to be planted in a planting area, integrates the regional environmental data and the data on crops to be planted, screens out a plurality of pending planting locations in the planting area, collects soil data and data on crops to be planted at each pending planting location, compares and analyzes the degree of crop nutrient absorption, and predicts the growth of crops at the pending planting location after planting, conducts planting experiments at the pending planting location, detects the actual value of the crop growth at the pending planting location, compares the actual value with the predicted value, and if the difference is small, matches and records the pending planting location and the crop to be planted if the difference is large, determines whether the recorded planting location meets the planting requirement based on the crop requirement, and if not, lowers the screening criteria to obtain more planting locations.

[0044] Example 1, a digital agricultural planting equipment control method, such as Figure 1 As shown, the following steps are included:

[0045] Step S1, obtaining regional environmental data and crop replacement data, comprehensively analyzing the regional environmental data and crop replacement data to set a crop replacement threshold and screen out multiple locations to be determined for crop replacement;

[0046] Step S2, collecting soil data of each pending replanting location and crop planting history data for comparative analysis, determining the nutrient absorption degree of the replanted crop based on the analysis results, and predicting the growth of the crop after replanting at the pending replanting location to obtain a growth prediction value;

[0047] Step S3, conducting a crop replacement experiment at the to-be-determined crop replacement location and detecting the actual growth of the crop at the to-be-determined crop replacement location to obtain a true growth value, and analyzing crop replacement differences by comparing the predicted growth value with the true growth value;

[0048] Step S4: screening the locations to be changed according to the crop change differences and recording them or lowering the screening standards to meet the planting requirements of the changed crops.

[0049] The specific implementation is as follows:

[0050] In step S1, the regional environmental data is the location slope. A replacement location with a lower slope is easier to maintain moisture, which helps the replacement crops absorb nutrients; the replacement crop data is the crop water retention increment. The stronger the crop's water retention ability, the longer the continuous growth time and the better the growth.

[0051] When obtaining the position slope data in the regional environment, a laser rangefinder can be used to perform an overall detection of the regional environment, obtain the height distribution of the overall regional environment, set the average height as the slope zero point of the regional environment, screen out the positions in the regional environment that are lower than the average height, divide the height of the screened positions by the average height, and use the calculated result as the position slope. The lower the height of the screened positions, the lower the position slope and the stronger the ability to maintain moisture.

[0052] When collecting the crop water retention increment, a crop water retention test can be conducted. Sample soil is collected at the same location in the regional environment, and planting experiments are carried out on crops before and after the crop change using the same culture conditions. A period of time is set as the collection time, and the soil moisture content of different crops is recorded before and after the collection time and the difference is taken. The smaller the change in soil moisture content, the stronger the crop's water retention ability. The soil moisture content changes obtained by testing the crops before and after the crop change are compared, and the ratio obtained is used as the crop water retention increment.

[0053] When screening pending replanting locations, the system sets a slope threshold for the replanting location based on the crop water lock increment. When the screened location is compared with the slope threshold, if the screened location exceeds the slope threshold, the screened location is marked as a pending replanting location. The specific steps for setting the slope threshold based on the crop water lock increment are as follows:

[0054] Set the initial slope threshold: The initial slope threshold can be set according to the screening position using the percentile method. Set the screening percentage to N%, arrange the position slopes of the screening positions from large to small, and use the position slopes that exceed N% of the position slopes as the initial slope threshold. For example, set the screening percentage to 60%, there are five screening positions and the slope thresholds are 0.80, 0.75, 0.70, 0.65, and 0.60, respectively. Among them, 0.75 exceeds 60% of the position slopes in the five slope thresholds, then 0.75 is set as the initial slope threshold.

[0055] Adjust the initial slope threshold: The ratio of the initial slope threshold to the crop water lock increment is used as the adjusted slope threshold. It should be explained that the larger the crop water lock increment, the stronger the water lock ability of the crop after the replacement, and the lower the slope maintenance water requirement. The initial slope threshold can be lowered by using the ratio of the initial slope threshold to the crop water lock increment; conversely, the smaller the crop water lock increment, the higher the slope maintenance water requirement, and the same method can be used to adjust the initial slope threshold upward.

[0056] Based on the adjusted slope threshold, candidate replanting locations are selected from the selected locations. The slope of each selected location is compared with the slope threshold. Locations with slopes below the slope threshold are selected as candidate replanting locations. The candidate replanting locations are selected based on both the environmental characteristics of the selected locations and the growth differences of the replanted crops. This improves the survival rate of the replanted crops and narrows the scope for subsequent replanting location determination, improving work efficiency.

[0057] It should be noted that a laser rangefinder is a device that uses laser technology to measure distances. The laser rangefinder can be used to measure the height of terrain in a regional environment. When performing location screening, the location in the regional environment can be divided into regional blocks, and the regional environment can be divided into several small areas. The small areas are used as screening, and the average slope of the small areas is used as the location slope for analysis. For example, the regional environment can be divided into several small areas of 4 square meters for screening to obtain the pending replacement area.

[0058] In step S2, the soil data of the to-be-determined replanting location is the nutrient content ratio in the soil of the to-be-determined replanting location. Crops need the soil to provide nutrients for the crops to produce and metabolize during their growth. This example takes nitrogen, phosphorus and potassium as examples of the main nutrients required by crops. Different crops have different requirements for the absorption ratio of nutrient content during growth. When the nutrient content ratio in the soil is too large or too small, it will affect the crop absorption.

[0059] Crop planting history data includes a table of crop adaptive nutrient ratios and crop growth conditions under these ratios. The system accesses the regional environmental planting history database to obtain the table of crop adaptive nutrient ratios and crop growth conditions under these ratios. The adaptive nutrient ratios of the new crops are queried in the table of crop adaptive nutrient ratios and compared with the nutrient content ratios in the soil. The degree of crop nutrient absorption is determined based on the comparison results. The Chebyshev distance can be calculated by taking the nutrient content ratio and the adaptive nutrient ratio as the common denominator and treating them as numerical values ​​for comparison. The specific steps are as follows:

[0060] Common nutrient content ratios: Common the decimals in the nutrient content ratios to ensure that all ratios are integers.

[0061] Calculate Chebyshev distance: by calculation formula: d = max(|x i -y i |), where d is the Chebyshev distance, i is the nutrient number, and x i is the value of the nutrient content ratio of the i-th soil after the common denominator, y iChange the corresponding nutrient ratio of the crop in the crop adaptation nutrient ratio table. For example, the nutrient ratio of nitrogen: phosphorus: potassium in the soil is 1.5:0.5:1. After the nutrient content ratio is generalized, nitrogen: phosphorus: potassium is 3:1:2. If the crop adaptation nutrient ratio table is nitrogen: phosphorus: potassium = 4:1:2, then according to the calculation formula, the corresponding nutrient content ratios are subtracted in turn and the maximum value is taken as the Chebyshev distance, that is, the difference in nitrogen content is 4-3=1, the difference in phosphorus content is 1-1=0, and the difference in potassium content is 2-2=0. Since 1 is greater than 0, the Chebyshev distance is 1.

[0062] It should be explained that the proportions in the adapted nutrient ratio table are all integers after common denominator. If there are uncommon denominator proportion values ​​in the adapted nutrient ratio table, the Chebyshev distance will be calculated after common denominator.

[0063] From the above Chebyshev distance calculation process, we can see that the larger the Chebyshev distance calculation result, the greater the difference between the nutrient content ratio in the soil and the adaptive nutrient ratio of the crop in the crop adaptive nutrient ratio table, and the greater the impact on the nutrient absorption of the crop. Using the above logic, the system judges the nutrient absorption degree of the crop according to the Chebyshev distance as follows:

[0064] Set the tolerance threshold: Set the tolerance threshold to C. If the Chebyshev distance calculated for the current pending replacement position exceeds the tolerance threshold C, the current pending replacement position will be deleted.

[0065] Set output rules:

[0066] Rule 1: When the Chebyshev distance calculated for the undetermined position is zero, the output result is 1;

[0067] Rule 2: When the Chebyshev distance calculated for the undetermined replacement position is not zero, mark it as d, and the output result is d / (1+d);

[0068] Determine the degree of nutrient absorption of crops: When the output result is 1, it is determined that the nutrient absorption degree of the replaced crops is normal; otherwise, it is determined that the nutrient absorption degree of the replaced crops is abnormal, and the output result is recorded.

[0069] The system predicts the growth of crops at the designated replacement location based on the nutrient absorption of the replacement crops. The prediction process is as follows:

[0070] Process 1: Determine the growth of the crop under the appropriate nutrient ratio for the proposed replacement location and record the average quality of the crop at maturity;

[0071] Process 2: Calculate the growth prediction value of the replacement crop based on the output result of the pending replacement position, and take the product of the average mass of the replacement crop at maturity and the output result as the growth prediction value of the replacement crop.

[0072] Process 3: Output the growth prediction value of the replacement crop.

[0073] By analyzing the soil data and crop planting history data of the pending planting location, the degree of nutrient absorption of the replacement crop in the pending planting location is screened out to meet the expectations of the replacement location and the predicted value of the replacement crop planted at the replacement location is calculated. Dynamic predictions are made for each pending planting location, which improves the limitation of setting the same classification threshold for different planting locations, further delineates the range of planting locations, and provides data support for subsequent comparison of the actual growth values ​​of the replacement crops.

[0074] It should be noted that the tolerance threshold set in the above steps when judging the degree of nutrient absorption of the replacement crops can be set according to actual conditions, for example, the tolerance threshold is set to 3, etc., which will not be elaborated here. There are many growth conditions of replacement crops, and the average quality of the crop at maturity can be used as the growth condition for prediction. If the nutrient absorption of the replacement crops in the to-be-determined replacement position is abnormal, the average quality at maturity will be lower than the average quality of the replacement crops with normal nutrient absorption at maturity. The data results can be used to analyze the degree of impact on the nutrient absorption of the replacement crops to predict the growth forecast value of the replacement crops planted in the to-be-determined replacement position.

[0075] In step S3, a planting experiment is carried out in the pending planting location. A planting experiment is carried out on the planting crop in each pending planting location. The average mass of the planting crop during the maturity period is recorded, and the actual growth value of the planting crop is recorded. After receiving the actual growth value of the planting crop, the system numbers each pending planting location, merges the actual growth value into a real planting data set according to the number, and merges the output planting crop growth prediction value into a predicted planting data set according to the number.

[0076] The system compares the corresponding numbered data in the real and predicted data sets to analyze the differences. The specific steps are as follows:

[0077] Step 1: Difference the data with the same number in the predicted cropping dataset and the actual cropping dataset to obtain the cropping difference value of the corresponding numbered pending cropping position, that is, the actual growth value minus the predicted growth value is used to obtain it.

[0078] Step 2: Set the filtering rules. If the calculated cropping difference value is positive or zero, the cropping difference at the proposed cropping location is considered small. If the calculated cropping difference value is negative, the cropping difference at the proposed cropping location is considered large. It should be noted that when the cropping difference value is positive or zero, the actual growth value of the proposed crop is greater than or equal to the predicted growth value, indicating that the proposed crop has exceeded or achieved the expected results and is actually growing better.

[0079] Step 3: Screening: when the difference between the pending replacement positions is large, mark it as a high-quality replacement position; when the difference between the pending replacement positions is small, mark it as an alternative replacement position.

[0080] By comparing the growth prediction value and actual growth value of the replacement crop, the replacement difference of the pending replacement position is determined, and the high-quality replacement position of the replacement crop is determined based on the replacement difference, which increases the yield of the replacement crop and reduces a series of unstable factors caused by the planting position.

[0081] It should be noted that when conducting planting experiments, the quality of the replacement crops should be measured at appropriate measurement time intervals during the maturity period of the replacement crops according to the crop growth cycle. Finally, the average quality of the replacement crops at maturity is obtained by comparing the total measured quality and the number of measurements as the true value of the growth of the replacement crops. The measurement time interval setting is not unique. For example, the measurement time interval can be set to once a day.

[0082] In step S4, the system retains the information of the high-quality replacement locations and replacement crops, stores them in the database, and counts the number of high-quality replacement locations. The system determines whether the planting requirements of the replacement crops are met based on the number of high-quality replacement locations. If the planting requirements are not met, remedial measures are taken to screen the candidate replacement locations by lowering the screening criteria to meet the planting requirements of the replacement crops. The specific screening operations are as follows:

[0083] The system sets a tolerance value between 0 and 1, and changes the output result of the alternative planting position through the tolerance value. When the alternative planting position calculates the Chebyshev distance to judge the nutrient absorption degree of the alternative crop, the output result is updated to the product of the original output result and the tolerance value, thereby reducing the growth prediction value of the alternative crop. Under the same actual growth value condition, the planting difference value calculated by the alternative planting position increases. When the planting difference value rises to 0 or exceeds 0, the system determines that the planting difference of the alternative planting position is small, and sorts the alternative planting positions with small planting differences according to the size of the planting difference value. In the sorting, the alternative planting positions are selected from front to back until the total number of high-quality planting positions and the number of alternative planting positions reaches the planting demand of the alternative crop.

[0084] By screening out high-quality replacement locations and replacement crop information, matching them and saving them in the database, remedial measures can be used to meet the planting needs of the replacement crops, making it convenient to call them when replacing the same crops in the future, increasing crop yields, and also facilitating subsequent comparative analysis and management of different crops.

[0085] It should be noted that when comparing the number of replacement locations with the planting needs of the replacement crops, the crop yield can be estimated and compared by multiplying the number of replacement locations by the area of ​​the replacement locations. The tolerance value in the above steps is set by professionals in this field and will not be analyzed here.

[0086] Example 2, a digital agricultural planting equipment control system, such as Figure 2 As shown, a method for controlling digital agricultural planting equipment is implemented, including a data acquisition module, a seed change position analysis module, a seed change position determination module, and a yield remediation module;

[0087] The data acquisition module is used to collect regional environmental data, crop replacement data, soil data and crop planting history data, and transmit them to subsequent modules for analysis and processing;

[0088] The replanting location analysis module is used to receive regional environmental data and replanting crop data and screen out pending replanting locations, and transmit the pending replanting locations to the replanting location determination module;

[0089] The replanting location determination module is used to receive soil data and crop planting history data, make predictions and comparisons on the replanting locations to be determined, and classify the replanting locations into high-quality replanting locations and alternative replanting locations;

[0090] The yield remediation module is used to record high-quality replacement locations and count their numbers for comparison with replacement crop planting needs, and use alternative replacement locations for remedial treatment.

[0091] The above embodiments may be implemented in whole or in part through software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0092] Those skilled in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application of the technical solution and the invention constraints. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0093] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0094] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0095] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A digital agricultural planting equipment control method, characterized in that: The following steps are included: Step S1, obtaining regional environmental data and crop replacement data, and setting a threshold based on the regional environmental data and crop replacement data to select multiple pending crop replacement locations; Step S2, collecting soil data of each pending replacement location and crop planting history data for comparative analysis, judging the degree of nutrient absorption of the replacement crop based on the analysis results and predicting the growth of the crop after the replacement at the pending replacement location to obtain a growth prediction value; Step S3, performing a crop replacement experiment at the to-be-determined crop replacement location and detecting the actual growth of the crop at the to-be-determined crop replacement location to obtain an actual growth value, and analyzing the crop replacement difference by comparing the growth prediction value with the actual growth value; Step S4, screening and recording the locations to be replaced according to the replacement differences or lowering the screening standards to meet the replacement crop planting needs.

2. A digital agricultural planting equipment control method according to claim 1, characterized in that: In step S1, the regional environmental data is the location slope; the crop change data is the crop water lock increment; The position slope is determined by detecting the height distribution of the regional environment, taking the slope zero point of the regional environment with the height average, screening out the positions in the regional environment that are lower than the height average, and taking the quotient of the screening position height and the height average as the position slope; The crop water lock increment is obtained by cultivating the crops before and after the crop change under the same conditions, and analyzing and testing the soil moisture content of the crops before and after the crop change within the same time period for comparison.

3. A digital agricultural planting equipment control method according to claim 2, characterized in that: In step S1, the steps of setting a threshold to screen the positions to be determined are as follows: Set initial slope threshold: Use percentile method to set initial slope threshold; Adjust the initial slope threshold: the ratio of the initial slope threshold to the crop water lock increment is used as the adjusted slope threshold; Screening of pending crop replacement locations: Compare the slope of each location in the regional environment with the slope threshold, and screen out locations below the slope threshold for crop replacement.

4. A digital agricultural planting equipment control method according to claim 1, characterized in that: In step S2, the soil data of the to-be-determined replacement location is the nutrient content ratio in the soil of the to-be-determined replacement location, and the crop planting history data includes a crop adaptive nutrient ratio table and the growth conditions of the crops under the adaptive nutrient ratio.

5. A digital agricultural planting equipment control method according to claim 4, characterized in that: In step S2, when judging the degree of nutrient absorption of the crop to be replaced, the suitable nutrient ratio of the crop to be replaced is obtained through the crop suitable nutrient ratio table, and the Chebyshev distance is calculated using the nutrient content ratio in the soil and the suitable nutrient ratio of the crop to be replaced. The degree of nutrient absorption of the crop to be replaced is judged according to the judgment rule set according to the Chebyshev distance as follows: Rule 1: When the Chebyshev distance calculated for the pending position is zero, the output result is 1; Rule 2: When the Chebyshev distance calculated for the pending change position is not zero, it is marked as d, and the output result is d / (1+d); Determine the degree of nutrient absorption of crops: When the output result is 1, it is determined that the degree of nutrient absorption of the crop to be replaced is normal; Otherwise, determine that the nutrient absorption of the crop is abnormal and record the output result.

6. A digital agricultural planting equipment control method according to claim 5, characterized in that: In step S2, the system predicts the growth of the crop after the crop is replaced at the designated replacement location according to the nutrient absorption degree of the crop to be replaced. The prediction process is as follows: Process 1: Determine the growth of the crop to be replaced under the appropriate nutrient ratio at the location to be replaced, and record the average quality of the crop at maturity; Process 2: Calculate the growth prediction value of the crop to be replaced according to the output result of the pending replacement position, and take the product of the average mass of the crop to be replaced at maturity and the output result as the growth prediction value of the crop to be replaced; Process 3: Output the growth prediction value of the replacement crop.

7. A digital agricultural planting equipment control method according to claim 6, characterized in that: In step S3, a crop replacement experiment is carried out in the to-be-determined crop replacement position to obtain the actual growth value of the crop replacement. After receiving the actual growth value of the crop replacement, the system numbers each to-be-determined crop replacement position, merges the actual growth value into an actual crop replacement data set according to the number, merges the output crop replacement growth prediction value into a predicted crop replacement data set according to the number, and analyzes the crop replacement difference based on the merged data set. The specific steps are as follows: Step 1: Subtract the data with the same number in the predicted seed-changing data set from the data with the real seed-changing data set to obtain the seed-changing difference value of the seed-changing position with the corresponding number; Step 2: Set a screening rule. If the calculated value of the seed-changing difference is a positive number or zero, it is determined that the seed-changing difference of the position to be determined is small; if the calculated value of the seed-changing difference is a negative number, it is determined that the seed-changing difference of the position to be determined is large; Step 3: Screening: when the difference between the pending replacement positions is large, mark them as high-quality replacement positions; when the difference between the pending replacement positions is small, mark them as alternative replacement positions.

8. A digital agricultural planting equipment control method according to claim 7, characterized in that: In step S4, the system retains the information of high-quality replacement positions and replacement crops, stores them in the database and counts the number of high-quality replacement positions. It determines whether the planting requirements of the replacement crops are met based on the number of high-quality replacement positions. If the planting requirements are not met, remedial measures are taken.

9. A digital agricultural planting equipment control system, based on a digital agricultural planting equipment control method according to any one of claims 1 to 8, characterized in that: It includes a data collection module, a seed change position analysis module, a seed change position determination module and a yield remediation module; The data collection module is used to collect regional environmental data, crop replacement data, soil data and crop planting history data, and transmit them to subsequent modules for analysis and processing; The crop replacement position analysis module is used to receive regional environmental data and crop replacement data and screen out pending crop replacement positions, and transmit the pending crop replacement positions to the crop replacement position determination module; The planting location determination module is used to receive soil data and crop planting history data, make predictions and comparisons on the pending planting locations, and classify the pending planting locations into high-quality planting locations and alternative planting locations; The yield remediation module is used to record high-quality replacement positions and count their numbers for comparison with replacement crop planting requirements, and to use alternative replacement positions for remedial treatment.

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