Intelligent Data Mining and Fusion Systems in Agriculture

Pantazi, Xanthoula Eirini, Moshou, Dimitrios and Bochtis, Dionysis (2020) Intelligent Data Mining and Fusion Systems in Agriculture. Elsevier. ISBN UNSPECIFIED

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Item Type:Book or Monograph
Item Status:Live Archive

Abstract

ntelligent 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.

Keywords:Machine learning, Precision Agriculture
Subjects:G Mathematical and Computer Sciences > G560 Data Management
G Mathematical and Computer Sciences > G760 Machine Learning
G Mathematical and Computer Sciences > G700 Artificial Intelligence
Divisions:College of Science > National Centre for Food Manufacturing > Lincoln Institute for Agri-Food Technology
ID Code:39209
Deposited On:23 Dec 2019 09:31

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