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基于深度学习技术的农业图像处理研究综述

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农业是国民经济的一个重要产业,推进农业农村现代化建设是社会主义现代化建设的重大任务.随着智慧农业的发展,深度学习技术在农业图像数据分析中的应用越来越广泛,深度学习技术在农业图像处理方面的应用有效地降低生产成本、提高农业生产效率、加快农业现代化的发展进程.系统介绍了目标检测、图像识别和图像分割3种常见的深度学习技术在农业图像处理中的应用现状,希望能为后续研究者提供帮助.
Review of Research on Agricultural Image Processing Based on Deep Learning Technology
Agriculture is an important industry in the national economy,and promoting the modernization of agri-culture and rural areas is a major task of socialist modernization.With the development of smart agriculture,Deep Learning technology is more and more widely applied in agricultural image data analysis.The application of Deep Learning technology in agricultural image processing has effectively reduced production costs,improved agricultural production efficiency,and accelerated the development process of agricultural modernization.The article systemati-cally introduces the current application status of three common Deep Learning technologies,including object detec-tion,image recognition,and image segmentation,in agricultural image processing.It is hoped to provide assistance for future researchers.

Deep LearningAgricultural image processingObject detectionImage segmentationImage segmentation

王湾湾

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河南师范大学计算机与信息工程学院 河南新乡 453007

深度学习 农业图像处理 目标检测 图像分类 图像分割

2024

科技资讯
北京国际科技服务中心 北京合作创新国际科技服务中心

科技资讯

影响因子:0.51
ISSN:1672-3791
年,卷(期):2024.22(16)