Intelligent analysis system for rice panicle traits based on Led-red light transmission imaging

Abstract

The invention relates to plant phenotypic research detection and control equipment, in particular to an intelligent analysis system for rice panicle traits based on Led-red light transmission imaging.The intelligent analysis system extracts the rice panicle traits. Based on the development importance of a phenotype platform researched in the field of crop phenotype high-throughput detection, in view of the situation that traditional measurement of the panicle traits mainly depends on labor, and has the disadvantages that the operation is cumbersome, labor intensity is high, measurement accuracy is greatly affected by artificial subjective factors and the like, and in view of the phenomena such as large size of existing equipment, low resolving accuracy of solid grains and flat grains or the safety hazards, the intelligent analysis system for the rice panicle traits based on Led-red light transmission imaging is researched and designed, a novel method for detecting plant solid grains and flat grains is provided, the size of the plant phenotype detection platform is reduced, and the detection efficiency is improved.

Description

technical field [0001] The invention relates to a plant phenotype research and detection device and method, in particular to an intelligent analysis system for rice ear traits based on Led-red light transmission imaging, which extracts rice ear traits. Background technique [0002] Ear is the final expression part of yield, and the relationship between ear traits and yield has always been the focus of research in breeding. When evaluating quality, ear traits most directly related to yield have always been important reference information. Ear traits include seed setting rate, grain weight, and grain length. Among them, the seed-setting rate affected by the empty grain and the grain weight affected by the grain length are important parameters affecting the yield. Based on the importance of the development of the phenotyping platform researched in the field of high-throughput detection of crop phenotypes, the traditional ear traits measurement mainly relies on manual labor, wh...

AI Technical Summary

Problems solved by technology

Based on the importance of the development of the phenotyping platform researched in the field of high-throughput detection of crop phenotypes, the traditional ear traits measurement mainly relies on manual labor, which has disadvantages such as cumbersome operation, high labor intensity, and the measurement accuracy is greatly affected by manual subjective factors. In view of the large size of the existing equipment, the low resolution accuracy of solid grains and shriveled grains, or potential safety hazards, the present invention researches and designs an intelligent analysis system for rice ear traits based on Led-red light transmission imaging, providing a A new method for detecting plant solid grains and deflated grains, which reduces the volume of the plant phenotype detection platform, improves detection efficiency, and ensures safety

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