Video-based agricultural product source tracing method and system

Abstract

The invention discloses a video-based agricultural product source tracing method and a video-based agricultural product source tracing system. The method includes the following steps: A, mounting a camera in the production, processing and dispatching environment of agricultural products, and shooting the production, processing and dispatching processes of agricultural products through the camera; B, storing the video shot by the camera in a data base, and recording the batch and shooting time of agricultural products related to the video; C, receiving the history video query requests from users, wherein the history video query requests include the batch and shooting time of agricultural products; and D, retrieving the corresponding video from the data base and displaying and representing the video to users as per the history video query requests from users. According to the invention, the video monitoring is introduced in the agricultural product source tracing system, and is combined with the conventional agricultural product source tracing manner, so that video dimensionality information of the agricultural product source tracing information can be provided, as a result, the integrity, intuitive performance and facticity of the agricultural product source tracing information are realized, and the agricultural product source tracing information is vivider.

Description

technical field [0001] The invention relates to the technical field of traceability of agricultural products, in particular to a method and system for traceability of agricultural products based on video. Background technique [0002] In the application of agricultural production, the recording of the production process has become a way for many manufacturers to prove their quality. By recording every link in the production of agricultural products, manufacturers can implement problem tracing and management methods that assign responsibility to people. At present, most of the records of the production process are written or photographed. The disadvantages of this recording method are: on the one hand, the text and photo recording methods are unreliable, and there is a possibility of fraud; on the other hand, the two recording methods are not comprehensive enough, and some potentially useful information will be missed. [0003] In addition, the existing traceability data in...

AI Technical Summary

Problems solved by technology

The disadvantages of this recording method are: on the one hand, the text and photo recording methods are unreliable, and there is a possibility of fraud; on the other hand, the two recording methods are not comprehensive enough, and some potentially useful information will be missed

[0003] In addition, the existing traceability data information of agricultural products based on software information entry or RFID and other radio frequency tag card scanning marks has undergone manual "secondary processing" and cannot directly and credibly show the entire growth process of crops. The planting operation process, and the traceability data of agricultural products sensed by sensor networks such as air temperature and humidity are all parametric quantifications of environmental parameters, which cannot intuitively display the environmental conditions of the entire growth process of crops

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