CN-121235416-B - Electronic agricultural production management method and system

CN121235416BCN 121235416 BCN121235416 BCN 121235416BCN-121235416-B

Abstract

The invention belongs to the technical field of agricultural production management, and relates to an electronic agricultural production management method and system. The system can timely send a task incomplete prompt to an operator based on shift information or handover events of the operator in the manual intervention process by responding to a starting instruction of the manual intervention task, evaluate the risk level of crops and trigger early warning according to the parameters and the target crop demand parameters, judge whether the real-time environment parameters meet the target crop demand parameters, and restore an automatic management and control strategy only after confirming the meeting. By the technical scheme, the problem that the system can recover the universal automatic plan by mistake under the condition that the actual effect and the crop demand are not fully evaluated after manual intervention, so that the crop is damaged is solved.

Inventors

GAO YIJUAN
Yang Zhulan
SU YIJING
OU YANPING

Assignees

厦门市集美职业技术学校

Dates

Publication Date: 20260505
Application Date: 20251201

Claims (8)

1. An electronic agricultural production management method, characterized in that the method comprises: Generating a task record in response to a starting instruction of a manual intervention task, wherein the task record comprises a task identifier, a task current state, an operator identifier, a target crop identifier and a target crop demand parameter; Based on the shift information or the handover event of the operator, sending an incomplete task reminder to the operator, wherein the incomplete task reminder comprises a task detail and a risk prompt of a target crop demand parameter; acquiring real-time environment parameters of a target crop planting area, evaluating the risk level of the target crop and triggering early warning according to the real-time environment parameters and the target crop demand parameters, and specifically comprising the following steps: calculating the environmental parameter change gradient in unit time according to the environmental parameters of the target crop planting area monitored in real time; Determining a virtual physiological stress index based on the environmental parameter change gradient and the physiological response characteristic, wherein the virtual physiological stress index is zero if the absolute value of the environmental parameter change gradient is smaller than or equal to a humidity decrease rate tolerance threshold value, is smaller than or equal to 1 if the absolute value of the environmental parameter change gradient is larger than the humidity decrease rate tolerance threshold value but smaller than or equal to a cell damage threshold value, and is determined according to the relative proportion of the absolute value of the environmental parameter change gradient to the humidity decrease rate tolerance threshold value and the cell damage threshold value, is larger than 1 if the absolute value of the environmental parameter change gradient is larger than the cell damage threshold value, and is increased along with the amplitude that the absolute value of the environmental parameter change gradient exceeds the cell damage threshold value, and is used for indicating the potential physiological damage degree of the target crop under the environmental parameter change gradient; Triggering early warning and providing intervention advice in response to the virtual physiological stress index exceeding an early warning threshold; And responding to the completion of the manual intervention task, judging that the real-time environment parameters meet the demand parameters of the target crops, and recovering the automatic management and control strategy of the target crops.
2. The method of claim 1, wherein the start-up instruction includes a target crop, and wherein generating the task record includes: Loading the target crop demand parameters from a prestored crop variety physiological demand database according to target crops, and storing the target crop demand parameters and task records in a manual intervention task record table in a correlated mode, wherein the target crop demand parameters comprise the upper limit and the duration of relative drying period humidity of the target crops after the manual intervention task is completed.
3. The method of electronic agricultural production management according to claim 2, wherein the sending an incomplete task reminder to the operator based on the operator shift information or the handover event includes: When detecting that the difference between the current time and the off-duty time of the operator is smaller than a preset time threshold, sending a first reminding notification to the operator, wherein the first reminding notification comprises a task identifier, a target crop, a current state of a task and an expected ending time; And synchronizing detailed information of the unfinished task to a shift operator when the shift-over event is detected, wherein the detailed information comprises a task identifier, a target crop, a current state of the task, a task starting operator, an expected ending time and a risk prompt based on the target crop demand parameter.
4. The method according to claim 3, wherein the step of evaluating the risk level of the target crop and triggering the early warning according to the real-time environmental parameter and the target crop demand parameter includes determining that the risk is high when the real-time environmental parameter is greater than the target crop demand parameter and the duration exceeds a first threshold value, and determining that the risk is urgent when the real-time environmental parameter exceeds the target crop demand parameter by a preset value and the duration exceeds a second threshold value.
5. The method of claim 1, wherein the evaluating the risk level of the target crop and triggering an early warning according to the real-time environmental parameter and the target crop demand parameter, further comprises: Monitoring the physiological performance of the target crop, and comparing the physiological performance with a preset expected healthy growth mode to determine whether the physiological performance of the target crop is abnormal; when the real-time environment parameter indicates a first environment state and the physiological performance indicates a second opposite physiological state and lasts for a preset time, determining that the real-time environment parameter and the physiological performance are contradictory; determining an actual environmental parameter based on the physiological performance anomaly in response to the real-time environmental parameter contradicting the physiological performance, and calculating a dynamic calibration offset, wherein the dynamic calibration offset is used to calibrate the real-time environmental parameter; And evaluating the risk level of the target crop and triggering early warning according to the calibrated real-time environment parameters and the target crop demand parameters.
6. The method of electronic agricultural production management according to claim 5, wherein said monitoring the physiological performance of the target crop comprises: Collecting crop canopy images through a deployed high-resolution camera, and extracting at least one growth index of leaf color index, leaf area index and plant height through image processing to serve as physiological expression of the target crop; And/or using at least one of an ultrasonic sensor, a laser ranging sensor, or a stalk diameter micro-variation sensor to collect plant height and stalk diameter variation data as physiological manifestations of the target crop.
7. The method of claim 1, wherein said determining that the real-time environmental parameter meets the target crop demand parameter in response to completion of the human intervention task, and recovering an automated management and control strategy for the target crop comprises: responding to the completion of the manual intervention task, and acquiring the real-time environment parameters; And when the real-time environment parameters meet the target crop demand parameters and last for a preset time, sending a recovery automatic irrigation control instruction, wherein the recovery automatic irrigation control instruction comprises a target crop identifier.
8. An electronic agricultural production management system for use in the method of any one of claims 1 to 7, the system comprising: The task generation module is used for responding to a starting instruction of a manual intervention task and generating a task record, wherein the task record comprises a task identifier, a task current state, an operator identifier, a target crop identifier and a target crop demand parameter; The reminding module is used for sending an incomplete task reminder to an operator based on the shift information or the handover event of the operator, wherein the incomplete task reminder comprises a task detail and a risk reminder of a target crop demand parameter; the risk assessment module is used for acquiring real-time environment parameters of a target crop planting area, assessing the risk level of the target crop according to the real-time environment parameters and the target crop demand parameters and triggering early warning; And the control module is used for responding to the completion of the manual intervention task, judging that the real-time environment parameters accord with the target crop demand parameters and recovering an automatic control strategy of the target crop.

Description

Electronic agricultural production management method and system Technical Field The application relates to the technical field of agricultural production management, in particular to an electronic agricultural production management method and system. Background In modern agricultural production, automated irrigation systems optimize water resource usage by presetting plans and sensor data. To address special situations, the system allows manual intervention, where manual instructions are often prioritized over automatic planning. However, this priority often has a time limit or requires an active release by the operator before the system resumes automatic operation. When a farm introduces new crop varieties with special demands on environmental parameters such as moisture, the general automated irrigation program may have difficulty meeting its fine management requirements. If the operator performs manual intervention (such as targeted deep irrigation), but the system may not fully evaluate the actual effect and crop requirements due to the missing handover or failure to close in time, the original general irrigation plan is automatically restored. Such erroneous switching can easily lead to a deviation of the crop moisture conditions from the proper range, which can lead to impaired growth. Meanwhile, interpretation and risk assessment of sensor data by the system are still often based on a conventional crop model, so that abnormal states of new crops are difficult to identify, actual problems can be covered up at the data level, and management misjudgment risks are increased. In view of the above, there is a need in the art for improvements. Disclosure of Invention The application discloses an electronic agricultural production management method and system, aiming at solving the problems that the existing electronic agricultural production management method is wrong to recover a general automatic plan due to negligence of operators or preset recovery logic when the operators do not fully evaluate the actual effect and the crop demand, the crops are damaged, the interpretation and risk evaluation of the system to sensor data are still based on a conventional crop model, the abnormal state of novel crops cannot be identified, the actual problem is covered in the data layer, and misjudgment is caused to the manager. The technical scheme of the application is as follows: In a first aspect, the application discloses an electronic agricultural production management method, which comprises the following steps: generating a task record in response to a starting instruction of a manual intervention task, wherein the task record comprises a task identifier, a task current state, an operator identifier, a target crop identifier and a target crop demand parameter; based on the shift information or the handover event of the operator, sending an incomplete task reminder to the operator, wherein the incomplete task reminder comprises task details and risk prompts of target crop demand parameters; Acquiring real-time environment parameters of a target crop planting area, evaluating the risk level of the target crop according to the real-time environment parameters and the target crop demand parameters, and triggering early warning; and responding to the completion of the manual intervention task, judging that the real-time environment parameters meet the demand parameters of the target crops, and recovering the automatic management and control strategy of the target crops. The starting instruction further comprises a target crop, the task record generation comprises loading the target crop demand parameter from a prestored crop variety physiological demand database according to the target crop, and storing the target crop demand parameter and the task record in a manual intervention task record table in a correlated mode, wherein the target crop demand parameter comprises the relative drying period humidity upper limit and the relative drying period humidity duration of the target crop after the manual intervention task is completed. On the basis, the method comprises the steps of sending an incomplete task reminder to an operator based on operator shift information or a handover event, wherein the step of sending a first reminder notice to the operator when detecting that the difference between the current time and the work completion of the operator is smaller than a preset time threshold value, the first reminder notice comprises a task identifier, a target crop, the current state of the task and the expected end time, and the step of synchronizing detailed information of the incomplete task to the handover operator when the handover event is detected, wherein the detailed information comprises the task identifier, the target crop, the current state of the task, the task starting operator, the expected end time and a risk prompt based on the requirement parameters of the target crop. Further, according to the real-tim