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

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: Elsevier 2024-12-01
Series:Smart Agricultural Technology
Subjects:
Cannabis leaf diseases
Deep learning ensemble
Image segmentation
Artificial multiple intelli-gence system (AMIS)
Disease classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524001400
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