Intelligent data mining and fusion systems in agriculture
05/04/21 02:06PM
Xanthoula Eirini Pantazi, Dimitrios Moshou and Dionysis Bochtis. Elsevier, 2020, 319p. ISBN: 978-0-12-814391-9
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.
