Toward Generalization of Deep Learning-Based Plant Disease Identification Under Controlled and Field Conditions
Author:
Affiliation:
1. Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA
2. Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USA
Funder
Wabash Heartland Innovation Network
U.S. Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA) Hatch Project
Purdue University Libraries Open Access Publishing Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10026479.pdf?arnumber=10026479
Reference39 articles.
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4. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2014
5. A framework for crop disease detection using feature fusion method;bhagwat;International Journal of Engineering and Innovative Technology,2021
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