Intelligent Data Mining and Fusion Systems in Agriculture

By Xanthoula Eirini Pantazi, Dimitrios Moshou, Dionysis Bochtis

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.

• Format: Paperback
• Language: English
• ISBN: 0128143916
• ISBN13: 9780128143919
• Release Date: October 2019
• Publisher: Academic Press
• Length: 330 Pages
• Weight: 0.98 lbs.
• Dimensions: 0.7" x 6.0" x 9.0"