Automatic Detection and Classification of Apple Leaves Diseases Using MobileNet V2

Apple orchards in the Imouzzer Kandar region (Morocco) suffer from numerous leaf diseases causing extreme yield losses. Early diagnosis favors the control of these diseases by optimizing the use of chemical products and reducing environmental impacts. In this context, we propose the deployment of an...

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Veröffentlicht in:	Revue d'Intelligence Artificielle 2022-12, Vol.36 (5), p.745-751
Hauptverfasser:	Boutalline, Mohammed, Tannouche, Adil, Faouzi, Hassan, Ouanan, Hamid, Dargham, Malak
Format:	Artikel
Sprache:	eng ; fre
Schlagworte:	Accuracy Artificial intelligence Artificial neural networks Classification Climate change Deep learning Embedded systems Environmental impact Food quality Machine learning Neural networks Orchards Plant diseases Signs and symptoms
Online-Zugang:	Volltext
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