Intelligent Data Mining and Fusion Systems in Agriculture
| By: | Xanthoula-Eirini Pantazi; Dimitrios Moshou; Dionysis Bochtis |
| Publisher: | Elsevier S & T |
| Print ISBN: | 9780128143919 |
| eText ISBN: | 9780128143926 |
| Edition: | 0 |
| Copyright: | 2020 |
| Format: | Reflowable |
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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.
- Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture
- Addresses AI use in weed management, disease detection, yield prediction and crop production
- Utilizes case studies to provide real-world insights and direction