Optimization techniques in deep convolutional neuronal networks applied to olive diseases classification

Optimization techniques in deep convolutional neuronal networks applied to olive diseases classification

Plants diseases have a detrimental effect on the quality but also on the quantity of agricultural production. However, the prediction of these diseases is proving the effect on crop quality and on reducing the risk of production losses. Indeed, the detection of plant diseases -either with a naked ey...

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Bibliographic Details
Main Authors:	El Mehdi Raouhi, Mohamed Lachgar, Hamid Hrimech, Ali Kartit
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2022-01-01
Series:	Artificial Intelligence in Agriculture
Subjects:	Convolutional neuronal networks (CNN) Classification Optimization Gradient descent Plant diseases Olive dataset diseases (ODD)
Online Access:	http://www.sciencedirect.com/science/article/pii/S258972172200006X

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