Hybrid Adaptive Multiple Intelligence System (HybridAMIS) for classifying cannabis leaf diseases using deep learning ensembles

Optimizing cannabis crop yield and quality necessitates accurate, automated leaf disease classi-fication systems for timely detection and intervention. Existing automated solutions, however, are insufficiently tailored to the specific challenges of cannabis disease identification, struggling with ro...

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Autors principals:	Keartisak Sriprateep, Surajet Khonjun, Rapeepan Pitakaso, Thanatkij Srichok, Sarinya Sala-Ngam, Yottha Srithep, Sarayut Gonwirat, Peerawat Luesak, Surasak Matitopanum, Chakat Chueadee, Rungwasun Kraiklang, Monika Kosacka-Olejnik
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-12-01
Col·lecció:	Smart Agricultural Technology
Matèries:	Cannabis leaf diseases Deep learning ensemble Image segmentation Artificial multiple intelli-gence system (AMIS) Disease classification
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2772375524001400
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