农机化研究2024，Vol.46Issue(4)：36-41,6.
基于无人机影像技术的柑橘园产量估算方法
Yield Estimation Method of Citrus Orchard Based on UAV Image Technology
摘要
Abstract
In order to realize the accurate and automatic estimation of citrus orchard yield,a citrus yield estimation sys-tem based on UAV image technology was designed.The system includes UAV,camera,image receiver,computer and other main modules.Firstly,the video data of citrus fruit trees in the orchard is obtained by UAV aerial photography,the receiver transmits the obtained data to the computer platform,and the position information of citrus fruit in the video is obtained by using the improved yolov5 target detection algorithm;Then,the matching Association of the same fruit be-tween different frames is realized by Kalman filter and convolutional neural network.Each fruit is marked with an inde-pendent ID,and the total number of IDS is used as the estimated value of the total number of citrus fruits in the video.The system is tested on the citrus orchard video collected on the spot to obtain the highest yield estimation accuracy of 88.6%,which can effectively help fruit farmers master the number of citrus in the orchard and provide scientific decision-making basis for the intelligent management of the orchard.关键词
柑橘/产量估算/无人机/水果识别/卷积神经网络Key words
citrus/yield estimation/UAV/fruit recognition/convolutional neural networks分类
农业科技引用本文复制引用
冯健,马俊燕,邓齐林,黄毅,常亚楠..基于无人机影像技术的柑橘园产量估算方法[J].农机化研究,2024,46(4):36-41,6.基金项目
广西自然科学基金项目(2018GXNSFAA138158) （2018GXNSFAA138158）
广西教育厅项目(2017KY0023) （2017KY0023）
广西制造系统与先进制造技术重点实验室项目(16-380-12S006) （16-380-12S006）
