Intelligent Data Mining and Fusion Systems in Agriculture

Provides a comprehensive overview of how to apply information analytics to improve agricultural results

Xanthoula-Eirini Pantazi (Author), Dimitrios Moshou (Author), Dionysis Bochtis (Author)

9780128143919

Paperback, published 9 October 2019

330 pages
22.9 x 15.1 x 2.1 cm, 0.5 kg

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.

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

Subject Areas: Enterprise software [UFL], Information technology: general issues [UB], Agricultural engineering & machinery [TVD], Technology: general issues [TB], Agriculture & related industries [KNAC]