Classification of rice leaf diseases using transfer learning based on MobileNetV2 architecture

Rice leaf disease is a serious problem in the agricultural sector that can significantly reduce productivity. Early detection is necessary to minimize losses, but manual identification by agricultural experts is time-consuming and prone to error. This study aims to develop an automatic classificatio...

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Główni autorzy:	Yasid Achmad, Tsalitsatun Ni’mah Ana, Tri Wahyuningrum Rima, Nur Hidayat Muhammad, Mahreza Rizky Fahrozi Mochammad, Hestiningrum Retno
Format:	Artigo
Język:	Inglês
Wydane:	EDP Sciences 2025-01-01
Seria:	EPJ Web of Conferences
Dostęp online:	https://www.epj-conferences.org/articles/epjconf/pdf/2025/29/epjconf_aiptec2025_01021.pdf
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