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Intelligent Data Mining and Fusion Systems in Agriculture

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Intelligent Data Mining and Fusion Systems in Agriculture
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  • Author : Xanthoula-Eirini Pantazi
  • Publisher : Academic Press
  • Pages : 330 pages
  • ISBN : 0128143924
  • Rating : /5 from reviews
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Download or Read online Intelligent Data Mining and Fusion Systems in Agriculture full in PDF, ePub and kindle. this book written by Xanthoula-Eirini Pantazi and published by Academic Press which was released on 08 October 2019 with total page 330 pages. We cannot guarantee that Intelligent Data Mining and Fusion Systems in Agriculture book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Intelligent Data Mining and Fusion Systems in Agriculture

Intelligent Data Mining and Fusion Systems in Agriculture
  • Author : Xanthoula-Eirini Pantazi,Dimitrios Moshou,Dionysis Bochtis
  • Publisher : Academic Press
  • Release : 08 October 2019
GET THIS BOOK Intelligent Data Mining and Fusion Systems in Agriculture

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

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