Intelligent Data Mining and Fusion Systems in Agriculture
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45 622 Ft
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Product details:
- Publisher Elsevier Science
- Date of Publication 9 October 2019
- ISBN 9780128143919
- Binding Paperback
- No. of pages330 pages
- Size 228x152 mm
- Weight 500 g
- Language English 2
Categories
Long description:
Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms.
MoreTable of Contents:
1. Sensors in Agriculture2. Artificial Intelligence in Agriculture3. Utilization of Multisensors and Data Fusion in Precision Agriculture4. Tutorial I: Weed Detection5. Tutorial II: Disease Detection with Fusion Techniques6. Tutorial III: Disease and Nutrient Stress Detection7. Tutorial IV: Leaf Disease Recognition8. Tutorial V: Yield Prediction9. Tutorial VI: Postharvest Phenotyping10. General Overview of the Proposed Data Mining and Fusion Techniques in Agriculture
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