CN-121998665-A - Agricultural production process data generation method

CN121998665ACN 121998665 ACN121998665 ACN 121998665ACN-121998665-A

Abstract

The invention relates to the field of agricultural credit approval and discloses a method for generating agricultural production process data, which comprises the steps of receiving credit application data of a target farmer through a farmer terminal; the method comprises the steps of inquiring a user file according to the attribute information of a farmer to obtain a farmer integrity score, a planting type, an Internet of things crop monitoring equipment identifier and a key evidence chain evidence storage file, checking the authenticity of an asset rights evidence file through the key evidence chain evidence storage file if the integrity score does not meet preset conditions, obtaining corresponding agricultural production process data according to the planting type after the authenticity check is passed, forming agricultural production process display data, pushing the agricultural production process display data to an intelligent terminal for visual presentation, initiating interactive inquiry, obtaining the supplementary description information of the farmer, receiving the supplementary description information, storing the supplementary description information in association with the agricultural production process data, and generating agricultural production process data evidence material. Thereby, an improvement of data authenticity, integrity and verifiability is achieved.

Inventors

Guo Zhenxuan
WU JINHAO

Assignees

山西煜嵘科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (8)

1. A method of generating agricultural production process data, comprising: Receiving credit application data of a target farmer through a farmer terminal, wherein the credit application data comprises attribute information of the target farmer, asset ownership certification files and credit application reasons and credit limits; inquiring a pre-constructed user file according to the attribute information to obtain a peasant household integrity score, a planting type, a pre-configured crop monitoring equipment identifier of the Internet of things of a peasant household and a certification-storing file on a key evidence chain; if the peasant household integrity score does not meet the preset condition, carrying out authenticity verification on the asset ownership certification file through the certification file on the key evidence chain; If the authenticity verification is passed, acquiring corresponding agricultural production process data according to the planting type, and carrying out structuring treatment on the agricultural production process data according to a preset data visualization format to form agricultural production process display data of a target farmer; Pushing the agricultural production process display data to an intelligent terminal of a business hall, so that the intelligent terminal visually presents the display data and initiates interactive query to a target farmer to obtain supplementary explanation information of the target farmer on key production nodes, abnormal growth stages or special farming activities; and receiving the supplementary explanation information, and storing the supplementary explanation information in association with the agricultural production process data to generate agricultural production process data evidence materials.
2. The method for generating agricultural production process data according to claim 1, wherein the obtaining the corresponding agricultural production process data according to the planting type includes: If the planting type represents open-air planting, inquiring standard remote sensing data marked by rights according to the land position information and attribute information of a target farmer extracted from the asset rights evidence file to obtain corresponding calibrated land area and land area information of the land position information in the standard remote sensing data; if the planting type represents greenhouse planting, inquiring crop growth environment data corresponding to the crop monitoring equipment identification of the Internet of things in the target historical time period, and generating agricultural production process data.
3. The method for generating agricultural production process data according to claim 2, wherein each real-time remote sensing data in the real-time remote sensing data set corresponds to a time point; Determining agricultural production process data according to the real-time remote sensing data set, the calibrated land area and the land area information, comprising: performing image segmentation on each real-time remote sensing data in the real-time remote sensing data set by using an example segmentation model to obtain a plurality of candidate polygons included in each real-time remote sensing data; Determining the boundary of the calibrated land parcel area as a standard polygon, performing similarity calculation on the standard polygon and the plurality of candidate polygons, and screening N candidate polygons with the front similarity sequence corresponding to each real-time remote sensing data; And screening candidate polygons with highest occurrence frequency in N candidate polygons corresponding to the time points respectively, taking the candidate polygons as target polygons, cutting out corresponding areas of the target polygons in each real-time remote sensing data, and obtaining a plurality of remote sensing image areas corresponding to different time points as agricultural production process data.
4. The method of claim 3, wherein the Internet of things crop monitoring device identified by the Internet of things crop monitoring device identification comprises a soil environment monitoring sensor, a crop growth monitoring sensor and a greenhouse camera, and wherein the Internet of things crop monitoring device identified by the Internet of things crop monitoring device identification comprises a soil environment monitoring sensor, a crop growth monitoring sensor and a greenhouse camera If the planting type represents greenhouse planting, inquiring crop growth environment data corresponding to the identification of the crop monitoring equipment of the Internet of things in the target historical time period, and generating agricultural production process data, wherein the method comprises the following steps of: if the planting type represents greenhouse planting, inquiring data of a soil environment monitoring sensor, a crop growth monitoring sensor and a greenhouse camera in a target historical time period and determining the data as agricultural production process data.
5. The method of generating agricultural production process data of claim 4, further comprising: If the planting type represents greenhouse planting, extracting from a greenhouse image set acquired by the greenhouse camera according to a preset image extraction proportion to obtain an extracted greenhouse image set; dividing the extracted greenhouse image set into M greenhouse image groups according to preset M time intervals and acquisition time stamps of each greenhouse image, wherein the M greenhouse image groups are in one-to-one correspondence with the M time intervals; Identifying the extracted greenhouse image set to obtain greenhouse crop categories, and inquiring in a pre-configured disease feature library according to the greenhouse crop categories to obtain at least one typical disease feature corresponding to the greenhouse crop categories and a disease stage corresponding to each typical disease feature; Each characteristic disease feature is assigned to one or more time intervals according to the corresponding stage of onset of each characteristic disease feature.
6. The method for generating agricultural production process data according to claim 5, further comprising: Extracting image characteristics of each greenhouse image respectively aiming at each greenhouse image group, calculating average image characteristics in the groups, dividing each greenhouse image group into an abnormal greenhouse image group and a normal greenhouse image group according to Euclidean distance between the average image characteristics and each image characteristic, determining average abnormal image characteristics corresponding to the abnormal greenhouse image groups, and carrying out similarity calculation with each corresponding typical disease characteristic; Generating a yield predictive value according to the potential disease characteristics and the crop growth index data sequence measured by the crop growth monitoring sensor; and adding the yield predicted value and the potential disease characteristics corresponding to each time interval to the agricultural production process data.
7. The method for generating agricultural production process data according to claim 6, wherein the querying the standard remote sensing data marked with the rights and the attribute information of the target farmer according to the land location information extracted from the asset rights and the attribute information of the target farmer to obtain the calibrated land area and land area information corresponding to the land location information in the standard remote sensing data comprises: inquiring the standard remote sensing data according to the attribute information of the target farmer to obtain candidate calibration land areas matched with the user identifications of the target farmer and corresponding candidate land area information; and carrying out consistency check on the candidate land parcel area information and the land location information, if the check is passed, determining the candidate calibration land parcel area as the calibration land parcel area, and determining the candidate land parcel area information as the land parcel area information.
8. The method for generating agricultural production process data according to claim 7, wherein pushing the agricultural production process display data to an intelligent terminal of a business hall to enable the intelligent terminal to visually present the display data and initiate interactive query to a target farmer to obtain supplementary explanation information of the target farmer on a key production node, an abnormal growth stage or a special agricultural activity, comprises: identifying suspected abnormal characteristics according to the agricultural production process display data, marking the suspected abnormal characteristics to obtain marking results, and generating corresponding query items according to the marking results; And sending the query items to the intelligent terminal, so that the intelligent terminal presents the questions one by one on the interactive interface according to the priority of the query items, and guides the target farmer to make supplementary explanation on the corresponding key production nodes, abnormal growth stages or special farming activities, thereby obtaining supplementary explanation information.

Description

Agricultural production process data generation method Technical Field The invention relates to the technical field of agricultural informatization and intelligent management, in particular to a method for generating agricultural production process data. Background With the rapid development of information technology, agricultural production gradually advances to a data-based and intelligent direction. Financial institutions are increasingly in need of services such as credit and insurance provided in the agricultural field. However, the prior art faces significant technical challenges in acquiring, verifying and utilizing actual agricultural production information of farmers In the verification process of the existing agricultural data, the following technical problems often exist: firstly, the prior art lacks a high-precision closed-loop verification data processing architecture, is difficult to integrate and structure multisource agricultural production data efficiently, and lacks an intelligent abnormal recognition and guiding interaction mechanism, so that objective monitoring data and farmer subjective supplementary information are difficult to be effectively associated and verified, and the reliability of the agricultural production process data is insufficient; Secondly, the lack of high-precision remote sensing data calibration and multisource agricultural data processing methods for farmer plots in the prior art leads to difficulty in accurately extracting plot boundaries, identifying abnormal states and quantifying disease features to conduct yield prediction. Disclosure of Invention This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. The invention provides a generation method of agricultural production process data, which aims to solve one or more of the technical problems mentioned in the background art section. The invention provides a method for generating agricultural production process data, which is characterized by comprising the following steps: Receiving credit application data of a target farmer through a farmer terminal, wherein the credit application data comprises attribute information of the target farmer, asset ownership certification files and credit application reasons and credit limits; Inquiring a pre-constructed user file according to the attribute information to obtain a peasant household integrity score, a planting type, a pre-configured crop monitoring equipment identifier of the Internet of things of a peasant household and a certification-storing file on a key evidence chain; if the score of the farmer's integrity does not meet the preset condition, carrying out authenticity verification on the asset right certification file through the certification file on the key evidence chain; If the authenticity verification is passed, acquiring corresponding agricultural production process data according to the planting type, and carrying out structuring treatment on the agricultural production process data according to a preset data visualization format to form agricultural production process display data of a target farmer; Pushing the agricultural production process display data to an intelligent terminal of a business hall, so that the intelligent terminal visually presents the display data and initiates interactive inquiry to a target farmer to obtain supplementary explanation information of the target farmer on key production nodes, abnormal growth stages or special farming activities; And receiving the supplementary explanation information, and storing the supplementary explanation information in association with the agricultural production process data to generate agricultural production process data evidence materials. Optionally, obtaining corresponding agricultural production process data according to the planting type includes: If the planting type represents open-air planting, inquiring standard remote sensing data marked by rights according to the land position information extracted from the asset rights proving file and the attribute information of a target farmer to obtain the corresponding calibrated land area and land area information of the land position information in the standard remote sensing data; if the planting type represents greenhouse planting, inquiring crop growth environment data corresponding to the crop monitoring equipment identification of the Internet of things in the target historical time period, and generating agricultural production process data. Optionally, each real-time remote sensing data in the real-time remote sensing data set corresponds to a time point; Determining agricultural production process data according to the real-time remote sensing data set, the c