Intelligent Data Mining and Fusion Systems in Agriculture (ePub)

Name: Intelligent Data Mining and Fusion Systems in Agriculture
Brand: Elsevier Science & Techn.
SKU: 138152525
Price: 163.90 CHF
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(Sprache: Englisch)

Autoren: Xanthoula-Eirini Pantazi , Dimitrios Moshou , Dionysis Bochtis

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Intelligent Data Mining and Fusion Systems in Agriculture, Xanthoula-Eirini Pantazi, Dimitrios Moshou, Dionysis Bochtis

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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...

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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

Autoren-Porträt von Xanthoula-Eirini Pantazi, Dimitrios Moshou, Dionysis Bochtis

Dr. Xanthoula-Eirini Pantazi holds a PhD in biosystems engineering and is an expert in bio-inspired computational systems and data mining. Her research interests include precision farming, plant stress detection, sensor fusion, machine learning, non-destructive sensing of biomaterial, and crop protection. Her research focuses on advanced contextual fusion framework from diverse information sources, including an unsupervised fusion framework where sparse encoding produces latent variables capturing context from multimodal information. She has developed a meta-learning framework for lifelong learning in autonomous systems based on active learning and novelty classifiers based on one-class assemblies with dynamic conflict resolution. Recent research includes an application of active learning in condition monitoring, crop status determination, weed species recognition, crop phenotyping, and post-harvest quality determination. She has presented 30 relevant papers in international conferences and has published 12 papers in scientific journals and 5 book chapters in research monographs.

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Autoren: Xanthoula-Eirini Pantazi , Dimitrios Moshou , Dionysis Bochtis
2019, 330 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0128143924
ISBN-13: 9780128143926
Erscheinungsdatum: 08.10.2019

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Dateiformat: ePub
Grösse: 28 MB
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