Artificial intelligence crop processing system and method

Abstract

The invention provides an artificial intelligence crop processing system comprising a shape analysis subsystem used for analyzing the shape of crops, a quality analysis subsystem used for analyzing the quality of crops, a three-dimensional image reconstruction subsystem used for carrying out three-dimensional modeling on the acquired images of the front and back surfaces of the crops and converting two-dimensional plane image information into three-dimensional images for electronic archiving, a surface defect detecting and positioning subsystem used for detecting specific positions of imperfect grain defects of crops, a crop image automatic classification subsystem used for classifying imperfect grains and perfect grains of crops, a crop grade on-line evaluation subsystem used for realizing an on-line evaluation function of the grain quality grade, and a sample labeling subsystem used for labeling the pictures of the crops and detecting a data set of an algorithm. The system combines various subsystems to obtain shapes, quality and three-dimensional images of crops, and the subsystems are combined to complete comprehensive detection of the crops.

Description

technical field [0001] The invention relates to the technical field of analysis and detection of crops, in particular to an artificial intelligence crop processing system and method. Background technique [0002] Food is the cornerstone of human existence. The quality of crops directly determines their value in the current season. Whether it is a grain station or a factory in the process of collecting grain, it is necessary to set prices for crops based on the quality of the crops. In addition, the quality of crops also directly affects the breeding process for the next season. Seed quality is one of the prerequisites for ensuring grain harvest, and breeding is an important link to ensure seed quality. In the breeding process, selecting high-quality crops as seeds is one of the basic requirements, which is specific to the strict requirements on the size, shape and other characteristics of the seeds. [0003] However, under the existing technical conditions, whether it is ...

AI Technical Summary

Problems solved by technology

[0003] However, under the existing technical conditions, whether it is the fixed price of crops or the breeding process, the judgment of various parameters of crops is usually done manually, with low work efficiency and large differences between people.

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