An Inclusive Concurrent Approach To Diagnosing Oryza Sativa Leaf Disease Using Machine Learning Techniques

M, Mary; J, Arockia

An Inclusive Concurrent Approach To Diagnosing Oryza Sativa Leaf Disease Using Machine Learning Techniques

M, Mary and J, Arockia (2024) An Inclusive Concurrent Approach To Diagnosing Oryza Sativa Leaf Disease Using Machine Learning Techniques. In: Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India.

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Abstract

Rice diseases, impacting half the world's food supply, threaten yields by 37% annually. Machine learning (ML) and deep learning (DL) offer promising solutions for early detection. These powerful tools have revolutionized computer vision, enabling automated and accurate disease identification through

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 17:18
Last Modified:	17 Apr 2026 00:09
URI:	http://eprints.eai.eu/id/eprint/47763

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