Practical Deep Learning for Plant Disease Detection (Paperback)

Language: English

Published by Eliva Press, 2026

9999351727 / 9789999351720

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Paperback. Artificial Intelligence is transforming agriculture, enabling faster, more accurate, and more accessible plant disease diagnosis. This book provides a practical introduction to building efficient deep learning models for plant disease detection using modern computer vision techniques. Drawing on research conducted at Bishop's University and a peer-reviewed publication in MDPI Electronics, the book explores the complete development pipeline-from dataset preparation and transfer learning to attention mechanisms, model evaluation, TensorFlow Lite deployment, and edge AI applications. Readers will gain practical insight into MobileNetV2, Convolutional Block Attention Module (CBAM), and lightweight deep learning architectures designed for resource-constrained devices. Designed for students, researchers, engineers, and AI practitioners, this book bridges the gap between academic research and real-world implementation, providing the knowledge required to develop intelligent agricultural solutions for precision farming and sustainable food production. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Seller Inventory # 9789999351720

Title
Practical Deep Learning for Plant Disease Detection (Paperback)
Author
Emmanuel Udoh
Publisher
Eliva Press
Publication year
2026
Condition
new
Binding
Paperback
Language
English
ISBN 10
9999351727
ISBN 13
9789999351720

Grand Eagle Retail

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