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A Smart Mobile Diagnosis System for Citrus Diseases Based on Densely Connected Convolutional Networks

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成果类型:
期刊论文
作者:
Pan, Wenyan;Qin, Jiaohua*;Xiang, Xuyu*;Wu, Yan;Tan, Yun;...
通讯作者:
Qin, Jiaohua;Xiang, Xuyu
作者机构:
[Pan, Wenyan; Qin, Jiaohua; Wu, Yan; Xiang, Xuyu; Tan, Yun; Xiang, XY] Cent South Univ Forestry & Technol, Coll Comp Sci & Informat Technol, Changsha 410004, Hunan, Peoples R China.
[Xiang, Lingyun] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Hunan, Peoples R China.
通讯机构:
[Qin, JH; Xiang, XY] C
Cent South Univ Forestry & Technol, Coll Comp Sci & Informat Technol, Changsha 410004, Hunan, Peoples R China.
语种:
英文
关键词:
citrus diseases;DenseNet;intelligent diagnosis;mobile service computing
期刊:
IEEE ACCESS
ISSN:
2169-3536
年:
2019
卷:
7
期:
99
页码:
87534-87542
基金类别:
This work was supported in part by the Key Research and Development Plan of Hunan Province under Grant 2018NK2012, in part by the National Natural Science Foundation of China under Grant 61772561, in part by the Science Research Projects of Hunan Provincial Education Department under Grant 18A174 and Grant 18C0262, in part by the Postgraduate Science and Technology Innovation Foundation of the Central South University of Forestry and Technology under Grant 20183034, and in part by the Science and Technology Innovation Platform and Talent Plan of Hunan Province under Grant 2017TP1022.
机构署名:
本校为第一且通讯机构
院系归属:
计算机与信息工程学院
摘要:
Citrus is one of the most widely cultivated fruit in the world. However, citrus diseases are becoming more and more serious, which has caused substantial economic losses to citrus growers. With the rapid developments of mobile device, mobile services computing play an increasingly important role in our daily lives. How to develop an intelligent diagnosis system for citrus diseases based on mobile services computing and bridge the gap between citrus growers and plant diagnostic experts is worth studying. In this paper, we build an image dataset ...

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