Author:
Yin Guanghui,Xie Yuanmin,Yun Juntong,Chen Hang,Yang Chuanjie
Abstract
Abstract
Fruit detection and location is the key technology of fruit picking automation. In this paper, aiming at the problem of fruit detection and location, fruits growing in natural environment were studied based on the Faster R-CNN target detection model. Experimental verification shows that the detection and recognition of fruit based on Faster R-CNN model can achieve higher detection accuracy and speed.
Cited by
1 articles.
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1. Design of Machine Vision Image Target Recognition System Based on Improved ORB Algorithm;2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2022-12-02