Quality determination system for agricultural products and use method thereof

Abstract

The invention discloses a quality determination system for agricultural products and a use method of the quality determination system. The quality determination system for the agricultural products is used for integrating a plurality of supply ends. The main structure of the system comprises a production recording unit, a quality management unit, preset growth information, a level distinguishing unit, a production optimization intelligent analysis unit, a comparison ranking unit, a production suggestion unit and a sales unit. Through the above structure, after the supply ends log in the quality determination system for the agricultural products, the growth process of at least one agricultural product is recorded in the production recording unit, the post-harvest level distinguishing unit and the comparison ranking unit evaluate and rank the supply ends, and then the production suggestion unit gives appropriate production suggestions to the supply ends. Therefore, artificial intelligence and big data can be combined to achieve the consistency of the production process, so that the growth quality of agricultural products and the overall environment quality of a farm are ensured, and the overall industry upgrading is assisted.

Description

technical field [0001] The present invention provides a system for determining the quality of agricultural products and its use method, especially a system that uses artificial intelligence combined with the Internet of Things to achieve consistency in the production process, thereby ensuring the growth quality of agricultural products and the overall environmental quality of the farm to assist the overall industry upgrade A system for determining the quality of agricultural products and a method for its use. Background technique [0002] Agriculture belongs to primary production and is one of the important economic activities of human beings. Simply put, it is a system in which human beings use their wisdom to create an environment that is more conducive to agricultural development, use the growth and reproduction of domesticated animals and plants to obtain products, and further exchange for economic benefits. [0003] The history of agriculture can be traced back thousan...

AI Technical Summary

Problems solved by technology

[0007] First, it is impossible to ensure the consistency of production, which can easily lead to problems of mixed quality

[0008] Second, most of the quality inspections are carried out by random inspection, which has low accuracy

[0009] Third, the production history is only used to record the growth of crops, but it cannot be used flexibly

[0010] Fourth, the current quality inspection of agricultural products is only sent for inspection after the harvest, but the growth process of agricultural products and the farm itself do not have the functions of real-time quality inspection verification and feedback control management, so quality inspection is not enough Express the quality level of farms and agricultural products

[0011] Fifth, the existing quality control procedures such as IQC, OQC or FQC only carry out more careful inspection than quality inspection before the product is shipped, and still do not control it during the growth process of the product, which also cannot represent the quality of farms and agricultural products. quality

[0012] Sixth, today's technology industry, artificial intelligence industry, and agriculture have all developed vigorously, but how to integrate and make optimal matching is beyond the ability of ordinary farmers

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