Intelligent Data Mining and Fusion Systems in Agriculture is popular PDF and ePub book, written by Xanthoula Eirini Pantazi in 2019-10-08, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Intelligent Data Mining and Fusion Systems in Agriculture can be Read Online from any device for your convenience.

Intelligent Data Mining and Fusion Systems in Agriculture Book PDF Summary

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

Detail Book of Intelligent Data Mining and Fusion Systems in Agriculture PDF

Intelligent Data Mining and Fusion Systems in Agriculture
  • Author : Xanthoula Eirini Pantazi
  • Release : 08 October 2019
  • Publisher : Academic Press
  • ISBN : 9780128143926
  • Genre : Business & Economics
  • Total Page : 330 pages
  • Language : English
  • PDF File Size : 12,9 Mb

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