现代农业装备2024，Vol.45Issue(1)：53-58,70,7.
机器视觉结合深度学习对荔枝估产的算法研究
Research on Litchi Yield Estimation Algorithm based on Machine Vision and Depth Learning
摘要
Abstract
The traditional method of Litchi yield estimation is manual counting method,which has many problems such as heavy labor,low efficiency and high error.In this paper,a neural network model for Litchi object detection based on YOLOv3 algorithm is built by using artificial intelligence techniques such as computer vision and depth learning,Then predict the number of fruits in the picture and save the results,a MLP neural network model was built,and the number of detected fruits was taken as the input of the network,and the output of the whole tree was inferred.In addition,in order to improve the accuracy of the results,we use binocular vision to obtain the information of measuring position and distance depth of Litchi tree,and use edge detection to get the outline of the tree,finally,the width and height of Litchi tree are obtained,and the results are input into MLP neural network as variables,through edge calculation,image reasoning and recognition calculation,Litchi yield estimation is realized,which can change the traditional artificial litchi yield estimation method,improve the efficiency and lay a foundation for the accurate management of Litchi orchards.关键词
荔枝估产/边缘检测/卷积神经网络/迁移学习/边缘计算Key words
litchi yield estimation/edge detection/convolutional neural network/migration learning/edge calculation分类
农业科技引用本文复制引用
高翔,陈福展,董力中,卢嘉威,李媛媛,凡超,陈万云..机器视觉结合深度学习对荔枝估产的算法研究[J].现代农业装备,2024,45(1):53-58,70,7.基金项目
广东省重点领域研发计划(2023B0202090001) （2023B0202090001）
广东省乡村振兴战略专项农业农村重点试点示范及基地建设资金项目(粤财农[2021]37号) （粤财农[2021]37号）
