Leveraging pre-trained models within a semi-supervised and explainable AI RealTime framework: A pioneering paradigm for betel leaf disease detection

Leveraging pre-trained models within a semi-supervised and explainable AI RealTime framework: A pioneering paradigm for betel leaf disease detection

Betel leaf is a significant crop considering its popularity and economic benefits. Although its betel vines are prone to several infections that are generally specified as betel leaf disease. Fungal and bacterial infections are simultaneously responsible for the disease, triggering the early decay o...

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Bibliographic Details
Main Authors: Md Tahsin, Maksura Binte Rabbani Nuha, Sumaiya Akter, Al Hossain, Mohammad Rifat Ahmmad Rashid, Raiha Ul Islam, Mohammad Shahadat Hossain
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Journal of Agriculture and Food Research
Subjects:
Betel leaf
Deep learning
Semi-supervised
Supervised
Explainable AI
Online Access:http://www.sciencedirect.com/science/article/pii/S2666154325005137
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http://www.sciencedirect.com/science/article/pii/S2666154325005137

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