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Information and Communication Technologies for Agriculture—Theme II: Data

Advancements in Data Management for Smart Farming

Panos M Pardalos editor Dionysis D Bochtis editor Dimitrios E Moshou editor Giorgos Vasileiadis editor Athanasios Balafoutis editor

Format:Paperback

Publisher:Springer Nature Switzerland AG

Published:19th Mar '23

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Information and Communication Technologies for Agriculture—Theme II: Data cover

This volume focuses on data technologies in agriculture, exploring data management, integration, and value addition in the agricultural products value chain. Information and Communication Technologies for Agriculture—Theme II: Data is a vital resource for professionals in the field.

The volume titled Information and Communication Technologies for Agriculture—Theme II: Data serves as the second installment in a comprehensive four-part series that delves into the digitization of agriculture and the role of Information and Communication Technologies (ICT). This series explores the evolving landscape of agricultural practices, focusing on critical themes such as Sensors (I), Data (II), Decision (III), and Actions (IV). Each volume reflects the rapid advancements in digital transformation within agricultural production systems, particularly emphasizing Smart Farming Technology and Knowledge-based Agriculture.

In this particular volume, the emphasis is placed on data technologies pertinent to agriculture. It elaborates on three fundamental aspects of data management: data collection, data fusion, and their application in machine learning and artificial intelligence. The book is structured into three parts, with the first addressing data management techniques, the second highlighting the integration of these technologies into agricultural processes, and the third examining the value added through effective data management within the agricultural products value chain.

Information and Communication Technologies for Agriculture—Theme II: Data is an invaluable resource for researchers and professionals engaged in agricultural production, including those in machine learning, operations management, decision analysis, and information analysis. Key advancements covered in this volume include big data management, data mining, IoT-based management systems, and AI-based image processing, all contributing to enhanced agricultural practices and business models.

ISBN: 9783030841508

Dimensions: unknown

Weight: unknown

288 pages

1st ed. 2022