A Hybrid Method For Detecting Corn Leaf Diseases Using Capsule Neural Networks (Paperback)
Published by Pippet Sky, 2026
- Softcover
- New
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
£ 37.40
Quantity: 1 available
Add to basketItem description from seller
Paperback. A Hybrid Method For Detecting Corn Leaf Diseases Using Capsule Neural Networks examines artificial intelligence and computer vision techniques for identifying diseases affecting corn leaves. The book focuses on image-based disease detection and the use of capsule neural networks for analyzing visual characteristics in agricultural images. It introduces concepts in deep learning, image processing, feature extraction, pattern recognition, neural network architectures, and agricultural data analysis. Attention is given to image preprocessing, representation of leaf characteristics, model development, classification, and performance evaluation. The hybrid approach is considered from a computational perspective, combining relevant analytical methods to support automated recognition of disease-related patterns in corn leaf images. The discussion provides technical background for understanding how deep learning and computer vision can be applied to agricultural disease analysis. This book is intended for students, researchers, agricultural engineers, computer scientists, data scientists, and professionals interested in precision agriculture, plant disease detection, machine learning, computer vision, and intelligent agricultural systems. A technical study of corn leaf disease detection using capsule neural networks, deep learning, computer vision, image processing, and agricultural analytics. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …
Seller Inventory # 9798182743846
- Title
- A Hybrid Method For Detecting Corn Leaf Diseases Using Capsule Neural Networks (Paperback)
- Author
- Robert Scholz
- Publisher
- Pippet Sky
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- ISBN 13
- 9798182743846
A Hybrid Method For Detecting Corn Leaf Diseases Using Capsule Neural Networks examines artificial intelligence and computer vision techniques for identifying diseases affecting corn leaves. The book focuses on image-based disease detection and the use of capsule neural networks for analyzing visual characteristics in agricultural images. It introduces concepts in deep learning, image processing, feature extraction, pattern recognition, neural network architectures, and agricultural data analysis. Attention is given to image preprocessing, representation of leaf characteristics, model development, classification, and performance evaluation. The hybrid approach is considered from a computational perspective, combining relevant analytical methods to support automated recognition of disease-related patterns in corn leaf images. The discussion provides technical background for understanding how deep learning and computer vision can be applied to agricultural disease analysis. This book is intended for students, researchers, agricultural engineers, computer scientists, data scientists, and professionals interested in precision agriculture, plant disease detection, machine learning, computer vision, and intelligent agricultural systems.
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AussieBookSeller
Truganina, VIC, Australia
AbeBooks seller since June 22, 2007
Shipping rates from Australia to U.S.A.
| Item | 25 to 45 business days | 8 to 14 business days |
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The Nile Group Pty Ltd
42 Apex Drive
Truganina, VIC Australia 3029
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