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Apple bagging system based on machine vision and multi-factor discrimination

文献类型： 会议论文

第一作者： Peigang Wei

作者： Peigang Wei 1 ; Wei Sun 1 ; Shanshan Cao 1 ; Jifang Liu 1 ; Fantao Kong 1 ;

作者机构： 1.Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China

关键词： Costs;Machine vision;Neural networks;Knowledge based systems;Computer applications;Manipulators;Path planning

会议名称： IEEE International Conference on Power, Electronics and Computer Applications

主办单位：

页码： 1116-1120

摘要： This paper designs an apple bagging system based on machine vision and multi-factor discrimination by combining apple varieties and planting areas and using convolutional neural networks. This article uses a knowledge base-based apple bagging time query system to obtain the best bagging time, uses machine vision and convolutional neural networks to visually locate the bagged apples, uses the path planning method to plan the bagging path, and controls it by sending Command to control the bagging machine to complete bagging. The use of this system can effectively solve the problems of time-consuming, low efficiency, and insufficient labor for apple bagging, and improve the quality and output of apples.

分类号： tp3

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