Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops

Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops

Abstract Timely identification and management of plant diseases are critical for sustaining crop yields and ensuring food security. This study proposes an innovative approach to detect Rhizoctonia aerial blight (RAB) caused by Rhizoctonia solani, a prevalent disease-causing substantial loss in soybe...

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Bibliographic Details
Main Authors: Mukta Nainwal, Anurag Satpathi, Saqib Shamsi, Ali Salem, Ajeet Singh Nain, Dinesh Kumar Vishwakarma, Ahmed Elbeltagi, Salah El-Hendawy, Mohamed A. Mattar
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Journal of Big Data
Subjects:
Soybean crop diseases
Machine learning
Disease detection
Smartphone imaging
Online Access:https://doi.org/10.1186/s40537-025-01191-w
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https://doi.org/10.1186/s40537-025-01191-w

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