Automated Black Rust Detection in Wheat Using CNNs: Advanced CNN-Based Approach for Early Detection and Management of Black Rust in Wheat - Couverture souple

Roy, Rupsha; Mondal, Saptarshi

 
9786207843930: Automated Black Rust Detection in Wheat Using CNNs: Advanced CNN-Based Approach for Early Detection and Management of Black Rust in Wheat
Couverture souple
ISBN 10 : 6207843932 ISBN 13 : 9786207843930
Editeur : LAP LAMBERT Academic Publishing, 2025

Synopsis

This research introduces a highly accurate CNN-based model (99.9% accuracy) for early detection of black rust in wheat using image analysis. The model was trained on a diverse, region-specific dataset, ensuring robust performance across varying agro-climatic conditions. It enables early-stage disease detection, reducing yield loss, optimizing fungicide use, and promoting sustainable farming practices. The system is lightweight, deployable on smartphones, and integrates with digital farming ecosystems, empowering farmers with accessible AI tools. Its scalability and compatibility with IoT and cloud platforms position it as a vital step toward precision agriculture and national food security.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2025
Langue
anglais
ISBN 10 
6207843932
ISBN 13 
9786207843930
Reliure
Broché
Nombre de pages
56
Coordonnées du fabricant
non disponible
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