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portada Automated Black Rust Detection in Wheat Using CNNs
Type
Physical Book
Publisher
Author
Language
English
Pages
56
Format
Paperback
Dimensions
22.9x15.2x0.3 cm
ISBN13
9786207843930

Automated Black Rust Detection in Wheat Using CNNs

Roy, Rupsha; Mondal, Saptarshi (Author) · LAP Lambert Academic Publishing · Paperback

Automated Black Rust Detection in Wheat Using CNNs - Roy, Rupsha; Mondal, Saptarshi

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Synopsis "Automated Black Rust Detection in Wheat Using CNNs"

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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