Digital horticulture: Artificial intelligence revolutionizing plant disease detection for healthier harvests
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Authors
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Raghuveer Singh
ICAR Research Complex for NEH region, Arunachal Pradesh Centre, Basar 791101
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Valenta Kangjam
ICAR Research Complex for NEH region, Arunachal Pradesh Centre, Basar 791101
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T Angami
ICAR Research Complex for NEH region, Arunachal Pradesh Centre, Basar 791101
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Susheel Kumar Sharma
ICAR-IARI, New Delhi- 110012
Abstract
Artificial Intelligence (AI) has become a powerful tool in the field of plant disease detection, offering numerous benefits for improving horticultural practices and ensuring food security. AI techniques, particularly machine learning (ML) and deep learning (DL) along with internet of things (IoT), can help in the early detection and diagnosis of plant diseases, leading to timely and effective disease
management practices.
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