Sugarcane seed screening system and method based on deep learning

Abstract

The invention discloses a sugarcane seed screening system based on deep learning, which comprises a pretreatment conveying device, a qualified sugarcane seed conveying device, an image recognition device, a screening device and an unqualified sugarcane seed conveying device, the pretreatment conveying device arranges piled sugarcane seeds into a single conveying state to enter the qualified sugarcane seed conveying device, so that the image recognition device recognizes the sugarcane seeds conveniently, and the screening device removes inferior sugarcane seeds conveniently; the invention also discloses a method for screening sugarcane seeds by using the system, and the inferior seed feature recognition system is constructed based on a deep learning convolutional neural network, so that surface features which are not beneficial to sugarcane growth, such as too close incision to sugarcane buds, incision damage, too long sugarcane buds, wormholes, cracks and the like, can be recognized and detected; an effective mode is provided for screening sugarcane seeds in a sugarcane segment form generated by a pre-cutting type sugarcane cutting machine, a segment cutting type sugarcane harvesting machine and the like, the sugarcane inferior seed screening rate can be effectively increased, and the sugarcane planting cost and the manual labor intensity are reduced.

Description

technical field [0001] The invention relates to the technical field of intelligent agricultural machinery, in particular to a system and method for screening sugarcane species based on deep learning. Background technique [0002] As one of the main economic crops in our country, sugarcane is the main source of sugar resources in our country. Among the sugarcane planting methods, the pre-cut seed planting mode has the advantages of low rate of cane seed damage, cane seeds can be sterilized, and can be screened. The pre-cut seed planting method has fewer diseases and insect pests, and the germination rate, survival rate, and yield are average. higher. In the pre-cut seed planting mode, the screening of sugarcane species is an important part, which determines the rate of improved sugarcane species, germination rate, survival rate of sugarcane and the amount of sugarcane species used. [0003] At present, the screening of sugarcane seeds in my country is mainly through manual ...

AI Technical Summary

Problems solved by technology

[0003] At present, the screening of sugarcane seeds in my country is mainly through manual rough screening, which has low efficiency and a low screening rate for inferior seeds, which leads to the need to use far more sugarcane seeds than should be planted to improve the germination rate and survival rate of sugarcane seeds. , which greatly increases the cost of sugarcane planting and labor intensity

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