基于YOLO算法的农作物病虫害识别研究综述
Research Review of Crop Diseases and Pests Identification based on YOLO Algorithm
万应霞 1燕振刚2
作者信息
- 1. 甘肃农业大学理学院 甘肃兰州 730070
- 2. 甘肃农业大学信息科学技术学院 甘肃兰州 730070
- 折叠
摘要
农作物病虫害是农业生产管理的关键,为及时防控病虫害,人们通过各种技术手段识别和监测病虫害.本文通过介绍目标检测算法YOLO(You Only Look Once)的发展历程及其在农作物病虫害识别中的应用,着重分析了YOLO算法在提高农作物病虫害识别准确度和缩短识别时间的优势,以期为农业生产提供科学指导.
Abstract
Crop pests and diseases are the key to agricultural production management.In order to prevent and control pests and diseases in time,scientists identify and monitor pests and diseases through various technical means.This paper introduces the development process of the target detection algorithm YOLO(You Only Look Once),its application in the identification of crop pests and diseases.It focuses on the analysis of the advantages of YOLO algorithm in improving the accuracy of crop pest identification,and reducing the recognition time,and provides scientific guidance for agricultural production.
关键词
YOLO算法/农作物病虫害/目标检测/深度学习Key words
YOLO algorithm/crop pests and diseases/object detection/deep learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据