Automated recognition of optical image based potato leaf blight diseases using deep learning

被引：33

作者：

Chakraborty, Kulendu Kashyap ^{[1
]}

Mukherjee, Rashmi ^{[2
]}

Chakroborty, Chandan ^{[3
]}

Bora, Kangkana ^{[4
]}

机构：

[1] Girijananda Chowdhury Inst Management & Technol, Dept Comp Sci & Engn, Gauhati 781017, Assam, India

[2] Vidyasagar Univ, Raja Narendra Lal Khan Womens Coll Autonomous, Dept Bot UG & PG, Midnapore 721102, W Bengal, India

[3] Natl Inst Tech Teachers Training & Res, Dept Comp Sci & Engn, Kolkata 700106, W Bengal, India

[4] Cotton Univ, Dept Comp Sci & Informat Technol, Gauhati 781001, Assam, India

来源：

PHYSIOLOGICAL AND MOLECULAR PLANT PATHOLOGY | 2022年 / 117卷

关键词：

Potato leaf; Late blight; Early blight; Deep learning; Parameter tweaking;

D O I：

10.1016/j.pmpp.2021.101781

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

The authors would also like to thank the editor in chief, associate editors and the reviewers of the journal for the time spent in reading/ handling the manuscript and for the useful comments. The third author acknowledges NITTTR Kolkata for providing support in terms of storing research data in the HPE Storage System [MSA 2060] related to this study.

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页数：10

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