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CN-121998311-A - Question-answering type agricultural planting system

CN121998311ACN 121998311 ACN121998311 ACN 121998311ACN-121998311-A

Abstract

The embodiment of the invention provides a question-answering type agricultural planting system. The system comprises a voice interaction terminal, a data acquisition module and a model deployment module, wherein the voice interaction terminal is used for receiving voice questioning information of a user, determining a core entity and user intention according to the voice questioning information, the core entity comprises identification information of a target planting area, the variety of target crops in the target planting area and attention information of the user, the data acquisition module is used for acquiring planting data of the target planting area, the planting data comprise crop data of the target crops and/or environment data of the target planting area, the model deployment module is used for analyzing the user intention and the core entity by utilizing an artificial intelligent model, generating a decision instruction according to an analysis result and a preset knowledge base, transmitting the decision instruction to an execution device to control the execution device to execute a corresponding operation task, generating a questioning and answering result according to the planting data, and outputting the questioning and answering result through the voice interaction terminal. The system does not need manual intervention, and can realize the integrated and intelligent management of crop planting.

Inventors

  • WU YINGJIE
  • XU CHANG

Assignees

  • 浙江镁浦绿动未来科技有限公司

Dates

Publication Date
20260508
Application Date
20251230

Claims (10)

  1. 1. A question-answering agricultural planting system, comprising: The voice interaction terminal is used for receiving voice questioning information of a user and determining a core entity and user intention according to the voice questioning information, wherein the core entity comprises identification information of a target planting area, varieties of target crops of the target planting area and attention information of the user; The data acquisition module is used for acquiring planting data of a target planting area, wherein the planting data comprises crop data of the target crops and/or environment data of the target planting area; The model deployment module is used for analyzing the user intention and the core entity by utilizing the artificial intelligent model, generating a decision instruction according to an analysis result and a preset knowledge base, transmitting the decision instruction to an execution device to control the execution device to execute a corresponding operation task, generating a question-answer result according to the planting data, and outputting the question-answer result through the voice interaction terminal; The execution equipment comprises one or more of a patrol robot, a mobile execution terminal, irrigation equipment, fertilization equipment, light supplementing equipment, ventilation equipment, sun shading equipment, pesticide applying equipment and a plant protection robot.
  2. 2. The question-answering agricultural planting system according to claim 1, wherein the decision instruction comprises an inspection instruction corresponding to the inspection robot and/or the mobile execution terminal, the data acquisition module comprises the inspection robot and/or the mobile execution terminal, the crop data is acquired by the inspection robot and/or the mobile execution terminal, and the environmental data is acquired by one or more of the inspection robot, the mobile execution terminal, a weather station and a first environmental sensor arranged inside the target planting area; And when the model deployment module generates a question and answer result according to the planting data, the question and answer result is generated according to the crop data and the environment data which are collected after the inspection robot and/or the mobile execution terminal execute the operation task corresponding to the inspection instruction.
  3. 3. The question-answering agricultural planting system according to claim 1 or 2, wherein the voice interaction terminal is specifically configured to: performing voice recognition on the voice questioning information; and converting the voice recognition result into a structured text, and extracting the core entity and the user intention from the structured text.
  4. 4. The question-answering agricultural planting system according to claim 1 or 2, wherein the attention information includes an anomaly, the preset knowledge base is used for storing variety parameters of preset crops, an anomaly association rule, and a water-fertilizer proportioning scheme, the variety parameters include at least one crop variety of the preset crops, a growth stage of each crop variety, preset suitable environmental data of each crop variety under different growth stages, the anomaly association rule is used for indicating association between the anomaly of the preset crops and an anomaly cause, and the water-fertilizer proportioning scheme includes water quantity and nitrogen-phosphorus-potassium proportioning required by the preset crops under different growth stages.
  5. 5. The question-answering agricultural planting system according to claim 1 or 2, wherein the model deployment module generates question-answering results from the planting data in particular by: Performing anomaly recognition on the crop data in the planting data through an image recognition algorithm to obtain an anomaly recognition result; and generating the question and answer result aiming at the user question information based on the abnormal recognition result.
  6. 6. The question-answering agricultural planting system according to claim 1 or 2, wherein the model deployment module comprises a cloud server and edge nodes in communication with each other, the cloud server being configured to deploy the artificial intelligence model and maintain the preset knowledge base; The edge node is respectively in communication connection with the voice interaction terminal and the data acquisition module, and is used for calling the artificial intelligent model of the cloud server to analyze the user intention and the core entity, generating a first decision instruction according to the analysis result and the preset knowledge base called from the cloud server, and generating a second decision instruction according to the analysis result; The cloud server is deployed with the artificial intelligent model and is used for generating a second decision instruction according to the analysis result, generating a question-answer result according to the planting data and outputting the question-answer result through the voice interaction terminal, wherein the difficulty level of the operation task corresponding to the first decision instruction is smaller than that of the operation task corresponding to the second decision instruction.
  7. 7. The question-answering agricultural planting system according to claim 1 or 2, further comprising a decision execution module in communication with the model deployment module, the model deployment module issuing the decision instruction to an execution device through the decision execution module; the decision execution module is used for generating a control signal based on the decision instruction and sending the control signal to the execution equipment so as to control the execution equipment to execute the corresponding job task.
  8. 8. The question-answering agricultural planting system according to claim 7, wherein the decision execution module is further configured to monitor an operation state of the execution device and an execution progress of the job task in real time, and send out alarm information and/or automatically switch to a standby execution device when it is determined that the execution device fails according to the operation state or the job task is abnormally executed according to the execution progress.
  9. 9. The question-answering agricultural planting system according to claim 7, wherein the decision instruction includes the job task, the decision execution module generating a control signal based on the decision instruction and issuing the control signal to an execution device by: And adding the job tasks into a task queue, sequencing the job tasks in the task queue according to a preset priority rule, sequentially generating the control signals by the job tasks in the task queue and issuing the control signals to the execution equipment, wherein when sequencing, if the priority of a first job task currently received is higher than that of a second job task to be executed recently, the second job task is suspended, and the first job task is inserted into the front of the second job task in the task queue.
  10. 10. The question-and-answer agricultural planting system of claim 7, wherein the task queue is a first-in-first-out queue, the decision execution module further configured to: Merging the similar tasks of the same or adjacent plots, and/or, Freezing any job task after executing interrupt, recording breakpoint information of the job task, and continuing executing the job task based on the breakpoint information when preset recovery condition is satisfied, and/or, And marking the execution progress of each job task in real time, wherein the execution progress comprises to-be-executed, in-process, completed and abnormally terminated.

Description

Question-answering type agricultural planting system Technical Field The invention relates to the technical field of intelligent agriculture, in particular to a question-answering type agricultural planting system. Background With the development of intelligent agricultural technology, crop (such as grape) planting is gradually upgraded to an accurate and intelligent direction. In the current crop planting process, a grower needs to monitor the growth state of crops (such as abnormal yellowing disease, fruit cracking, powdery mildew and the like) through manual inspection, and combines experience to judge the environment regulation (light supplementing, ventilation, sun shading and the like) and water fertilizer irrigation scheme, or independently operates through a scattered equipment terminal (such as an irrigation controller, an environment monitor and the like), so that the problems of complex operation flow and delayed response exist. Meanwhile, high-value cash crops such as grapes have obvious differences in the requirements of environmental data (such as air temperature, air humidity, air CO 2 concentration, illumination intensity and the like) and water and fertilizer ratio (such as proper temperature of 25-30 ℃ in the fruiting period and 25000-30000lux of illumination intensity in the coloring period) in the growth stage (such as the sprouting period, the flowering period, the fruiting period, the coloring period, the maturing period and the like), and the problems of disease and insect pest diffusion, fruit quality reduction and the like are easily caused because the traditional manual management mode is difficult to accurately match with the dynamic requirements. In order to solve the problems, an agricultural knowledge question-answering system and an independent execution device system are presented in the prior art, but the systems are independent from each other and do not form a cooperative closed loop. After a grower consults a crop planting problem through a question-answering system, the grower also needs to manually control an execution device to execute, for example, a patrol robot is arranged to patrol or an environment regulation and control device is controlled to regulate and control the environment, so that the management efficiency is low, the synergy is poor, and errors are easy to occur. Disclosure of Invention The present invention has been made in view of the above-described problems. The invention provides a question-answering type agricultural planting system. According to one aspect of the invention, a question-answer agricultural planting system is provided, which comprises a voice interaction terminal, a data acquisition module and a model deployment module, wherein the voice interaction terminal is used for receiving voice question information of a user, determining a core entity and user intention according to the voice question information, the core entity comprises identification information of a target planting area, varieties of target crops in the target planting area and attention information of the user, the data acquisition module is used for acquiring planting data of the target planting area, the planting data comprise crop data of the target crops and/or environment data of the target planting area, the model deployment module is respectively in communication connection with the voice interaction terminal and the data acquisition module and is used for analyzing the user intention and the core entity by utilizing the artificial intelligent model, generating a decision instruction according to analysis results and a preset knowledge base, issuing the decision instruction to an execution device to control the execution device to execute corresponding operation tasks, generating a question-answer result according to the planting data and outputting the question-answer result through the voice interaction terminal, and the execution device comprises one or more of a patrol robot, a mobile execution terminal, an irrigation device, a fertilization device, a light supplementing device, a ventilation device, a sunshade device, a pesticide device and a plant protection device. The decision instruction comprises an inspection instruction corresponding to the inspection robot and/or the mobile execution terminal, the data acquisition module comprises the inspection robot and/or the mobile execution terminal, crop data are acquired by the inspection robot and/or the mobile execution terminal, environmental data are acquired by one or more of the inspection robot, the mobile execution terminal, the weather station and a first environmental sensor arranged in a target planting area, and the model deployment module generates an inspection result when generating the inspection result according to planting data, specifically according to the crop data and the environmental data acquired after the inspection robot and/or the mobile execution terminal execute the operation task