深度学习在植物叶部病害检测与识别的研究进展
邵明月, 张建华, 冯全, 柴秀娟, 张凝, 张文蓉

Research Progress of Deep Learning in Detection and Recognition of Plant Leaf Diseases
SHAO Mingyue, ZHANG Jianhua, FENG Quan, CHAI Xiujuan, ZHANG Ning, ZHANG Wenrong
表4 近年来基于无锚框及自建网络的植物病害目标检测研究进展
Table 4 Recent advances in plant disease target detection based on anchor-free and self-built networks
编号作者年份植物种类数据集/幅获取方法检测网络框架最优准确率/%
1Albattah等40202114种植物54,306PlantVillageCenterNet+DenseNet-7799.98
2Kavitha和Savarimuthu6320216种植物3953可控环境拍摄DPD-DS87.12
3Liu等642021黄瓜4788田间拍摄EFDet83.32
4Dwivedi等652021葡萄4500PlantVillageGLDDN99.93
5Nihar等662021黄豆番茄1043可控环境拍摄ModCNN97.69
6Nagasubramanian等672019大豆111可控环境下拍摄3D DCNN95.73