A digital agricultural planting equipment control method and system

Abstract

The invention discloses a digital agricultural planting equipment control method and system, relates to the field of digital agricultural technology, and is used to improve the problems of slow growth and low yield of crops for replacement in the same planting position, including collecting environmental data and replacement crop data of a replacement area, screening multiple pending replacement positions in the replacement area based on the regional environmental data and the replacement crop data, collecting soil data of each pending replacement position and replacement crop data to compare and analyze the degree of crop nutrient absorption and predict the growth of the crops after replacement at the pending replacement position, performing replacement experiments at the pending replacement position and detecting the true value of the crop growth at the pending replacement position, comparing the true value with the predicted value, and matching and recording the pending replacement position and the replacement crop if the difference is small, and judging whether the recorded replacement position meets the replacement demand according to the replacement crop demand if the difference is large, and taking remedial measures to obtain more replacement positions if the demand is not met.

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 prior art 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, and 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 replaced crops and the degree of matching between the adaptation conditions of the planting area and the replaced 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 pending crop replacement locations;

[0009] 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;

[0010] 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;

[0011] 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.

[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 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;

[0014] 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.

[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 initial slope threshold: Use percentile method to set 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 for crop replacement.

[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 conditions of the crops under the adaptive nutrient ratio.

[0020] In a preferred embodiment, in step S2, when judging the degree of nutrient absorption of the crop to be replaced, the nutrient ratio of the crop to be replaced is obtained through the crop adaptation nutrient ratio table, the Chebyshev distance is calculated using the nutrient content ratio in the soil and the adaptive nutrient ratio of the crop to be replaced, and the nutrient absorption degree of the crop to be replaced is judged according to the judgment rule set according to the Chebyshev distance as follows:

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

[0022] 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);

[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 according to the nutrient absorption degree of the replaced crop. The prediction process is as follows:

[0025] 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;

[0026] 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;

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

[0028] In a preferred embodiment, 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 according to the merged data set. The specific steps are as follows:

[0029] 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;

[0030] 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;

[0031] 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.

[0032] In a preferred embodiment, in step S4, the system retains the information of high-quality replacement positions and replacement crops, stores them in a database and counts the number of high-quality replacement positions, and 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.

[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 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;

[0036] 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;

[0037] 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.

[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 a transplanting area, integrates the regional environmental data and the crop data of a transplanting area to screen out a plurality of pending transplanting positions in the transplanting area, delineates directions for subsequent determination of the transplanting positions, collects soil data of each pending transplanting position and data of the crop to be transplanted to compare and analyze the degree of crop nutrient absorption and predict the growth of crops at the pending transplanting positions after transplanting, conducts transplanting experiments at the pending transplanting positions and detects the true value of the crop growth at the pending transplanting positions, compares the true value with the predicted value, sets a different comparison range for each pending transplanting position according to the degree of crop nutrient absorption, and dynamically predicts each pending transplanting position, thereby improving the limitation of setting the same classification threshold for different transplanting positions. If the difference is small, the pending transplanting position and the crop to be transplanted are matched and recorded. If the difference is large, it is judged whether the recorded transplanting position meets the transplanting demand according to the crop demand. If it does not meet the demand, the screening standard is lowered to obtain more transplanting positions. 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 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.

[0043] The present invention collects regional environmental data and crop data for crop replacement, screens out a plurality of pending crop replacement positions in the crop replacement area based on the regional environmental data and crop data for crop replacement, collects soil data of each pending crop replacement position and compares and analyzes the degree of crop nutrient absorption and predicts the crop growth after crop replacement at the pending crop replacement position, performs crop replacement experiments at the pending crop replacement position and detects the actual value of the crop growth at the pending crop replacement position, compares the actual value with the predicted value, and if the difference is small, matches and records the pending crop replacement position and the crop for crop replacement, and if the difference is large, determines whether the recorded crop replacement position meets the crop replacement demand according to the crop replacement demand, and if it does not meet the demand, lowers the screening standard to obtain more crop replacement positions.

[0044] Embodiment 1, a method for controlling a digital agricultural planting device, such as Figure 1 As shown, the following steps are included:

[0045] Step S1, obtaining regional environmental data and crop replacement data, and setting a crop replacement threshold based on the regional environmental data and crop replacement data to select multiple locations to be replaced;

[0046] 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;

[0047] 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;

[0048] 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.

[0049] The specific implementation is as follows:

[0050] In step S1, the regional environmental data is the slope of the location. 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 lock increment. The stronger the crop's water lock 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 height average as the slope zero point of the regional environment, screen out the positions in the regional environment that are below the height average, take the quotient of the screened position height and the height average, and use the calculated result as the position slope. The lower the screened position height, the lower the position slope and the stronger the ability to maintain moisture.

[0052] When collecting the crop water lock increment, a crop water lock test can be carried out. Sample soil is collected at the same location in the regional environment, and planting experiments are carried out on the 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 made. The smaller the change in soil moisture content, the stronger the crop's ability to lock water. The changes in soil moisture content obtained by testing the crops before and after the crop change are compared, and the ratio obtained is used as the crop water lock increment.

[0053] When screening the pending replacement positions, the system sets a slope threshold for the replacement position slope according to the crop water lock increment. When the screening position is compared with the slope threshold, if the screening position exceeds the slope threshold, the screening position is marked as a pending replacement position. The specific steps for setting the slope threshold according to 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. 0.75 exceeds 60% of the position slopes of 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 crop change, and the lower the requirement for slope maintenance water. 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 requirement for slope maintenance water, and the initial slope threshold can be adjusted upward using the same method.

[0056] According to the adjusted slope threshold, the pending replacement positions are obtained from the screening positions, the position slopes in each screening position are compared with the slope threshold, and the screening positions with position slopes lower than the slope threshold are selected as the pending replacement positions. The pending replacement positions are selected based on the environmental characteristics of the screening positions and the growth differences of the replacement crops. The survival rate of the replacement crops is improved, the determination range is narrowed for the subsequent determination of the replacement positions, and the work efficiency is improved.

[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 locations in the regional environment can be divided into blocks. The regional environment can be divided into several small areas. The small areas are used for 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 crop replacement position is the nutrient content ratio in the soil of the to-be-determined crop replacement position. Crops need the soil to provide nutrients for the crops to produce and metabolize during their growth. This example takes nitrogen, phosphorus and potassium, which are the main nutrients required by crops, as an example. 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] The crop planting history data includes the crop adaptation nutrient ratio table and the crop growth situation under the adaptation nutrient ratio. The system accesses the regional environment planting history database to obtain the crop adaptation nutrient ratio table and the crop growth situation under the adaptation nutrient ratio. The adaptation nutrient ratio of the crop to be replaced is queried in the crop adaptation nutrient ratio table and compared with the nutrient content ratio in the soil. The degree of crop nutrient absorption is judged according to the comparison result. The nutrient content ratio and the adaptation nutrient ratio can be regarded as numerical calculation Chebyshev distance 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 ith nutrient content ratio in the soil after common denominator, y iThe corresponding nutrient ratio of the crop in the crop adaptation nutrient ratio table is replaced. For example, the nutrient ratio of nitrogen: phosphorus: potassium in the soil is 1.5:0.5:1, then 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 through 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 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, it can be seen that when the Chebyshev distance calculation result is larger, 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 is larger, and the impact on the nutrient absorption of the crop is larger. 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 seed replacement position exceeds the tolerance threshold C, the current pending seed replacement position will be deleted.

[0065] Set output rules:

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

[0067] 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);

[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 degree of nutrient absorption of the replaced crops. The prediction process is as follows:

[0070] 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;

[0071] Process 2: Calculate the growth prediction value of the crop to be replaced based on 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.

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

[0073] By analyzing the soil data and crop planting history data of the pending replacement locations, the degree of nutrient absorption of the replacement crops in the pending replacement locations is analyzed to screen out the replacement locations that meet the expectations and calculate the predicted values ​​of the replacement crops planted at the replacement locations. Dynamic predictions are made for each pending replacement location, which improves the limitation of setting the same classification threshold for different replacement locations, further defines the range of replacement 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 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 crops at maturity can be used as the growth condition for prediction. If the nutrient absorption of replacement crops at the to-be-determined replacement position is abnormal, the average quality at maturity will be lower than the average quality of 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 replacement crops to predict the growth prediction value of the replacement crops planted at the to-be-determined replacement position.

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

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

[0077] 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 corresponding number of the pending seed-changing position, that is, obtain it by subtracting the predicted growth value from the real growth value.

[0078] Step 2: Set the screening rules. If the calculated value of the crop change difference is positive or zero, the crop change difference of the pending crop change position is judged to be small; if the calculated value of the crop change difference is negative, the crop change difference of the pending crop change position is judged to be large. It should be explained that when the crop change difference value is positive or zero, the actual growth value of the crop change is greater than or equal to the predicted growth value, that is, the crop change exceeds or reaches the expected effect, and the actual growth is better.

[0079] 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.

[0080] By comparing the predicted growth value and the 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, appropriate measurement time intervals should be set during the maturity period of the replacement crops according to the crop growth cycle to measure the quality of the replacement crops. 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 high-quality replacement positions and replacement crop information, stores them in the database and counts the number of high-quality replacement positions. The system determines whether the planting demand of the replacement crop is met based on the number of high-quality replacement positions. If the planting demand is not met, remedial measures are taken to meet the planting demand of the replacement crop by lowering the screening criteria. The specific screening operation is 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 determine the degree of nutrient absorption of the replacement 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 replacement crop. Under the same real growth value condition, the replacement difference value calculated by the alternative planting position increases. When the replacement difference value rises to 0 or exceeds 0, the system determines that the replacement difference of the alternative planting position is small, and sorts the alternative planting positions with small replacement differences according to the size of the replacement difference value. The alternative planting positions are selected from front to back in the sorting until the total number of high-quality planting positions and the number of alternative planting positions reaches the planting demand of the replacement 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 the same crops are replaced later, thereby increasing crop yields and 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] Embodiment 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 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;

[0089] 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;

[0090] 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.

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

[0092] Those of ordinary skill 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 to be 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 is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope 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 protection scope 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; By predicting the nutrient absorption degree of the crop, the predicted growth value of the crop after the change of the position is compared with the actual growth value of the crop to analyze the difference of the change of the position; 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, it is judged that the nutrient absorption of the crop to be replaced is abnormal, and the output result is recorded; 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; 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.

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 any one of claims 1 or 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 1, 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.

6. A digital agricultural planting equipment control system, based on a digital agricultural planting equipment control method according to any one of claims 1 to 5, characterized in that: It includes a data acquisition module, a seed change position analysis module, a seed change position determination module and a yield remediation module; 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; 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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