ResNet interpretation methods applied to the classification of foliar diseases in sunflower

ResNet interpretation methods applied to the classification of foliar diseases in sunflower

Remarkable progress in the identification of foliar diseases based on plant images has been achieved through the introduction of convolutional neural networks (CNN), but most studies are based on images taken in laboratory conditions, on a single-color background and in controlled light conditions....

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Bibliographic Details
Main Authors: Rodica Gabriela Dawod, Ciprian Dobre
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Journal of Agriculture and Food Research
Subjects:
Convolutional neural network visualization
Network interpretability
Sunflower disease identification
Saliency map
Class activation map
Online Access:http://www.sciencedirect.com/science/article/pii/S2666154322000564

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http://www.sciencedirect.com/science/article/pii/S2666154322000564

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