Information and Communication Technologies for Agriculture-Theme II: Data

This book is the second of four volumes under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). It focuses on data technologies in relation to agriculture and presents three key points in data management: data collection, data fusion, and their uses in machine learning and artificial intelligent technologies. Part 2 is devoted to the integration of these technologies in agricultural production processes by presenting specific applications. Part 3 examines the added value of data management within the agricultural products value chain. The book provides an exceptional reference for those researching and working in or adjacent to agricultural production.

Format: Paperback / softback
Length: 288 pages
Publication date: 19 March 2023
Publisher: Springer Nature Switzerland AG

This comprehensive volume, the second installment of a four-part series, delves into the dynamic realm of digitizing agriculture and information and communication technologies (ICT). Spanning four volumes, this series explores rapidly evolving processes, including sensors, data, decision-making, and actions. Rooted in the concept of "digital transformation" within agricultural production and provision systems, it also encompasses the realm of Smart Farming Technology and Knowledge-based Agriculture.

The content of this volume spans a wide range, encompassing data mining and visualization, big data analytics, and decision-making, all while addressing the sustainability implications arising from the digital transformation of farming. The four volumes collectively represent the outcome of the 12th EFITA Congress, featuring chapters derived from select presentations at the event.

In the first part of this book, the focus shifts to data technologies in agriculture, presenting three key aspects of data management: data collection, data fusion, and their applications in machine learning and artificial intelligence technologies. Part 2 delves into the integration of these technologies into agricultural production processes, showcasing specific applications across various domains. Part 3 explores the value added by effective data management within the agricultural products value chain.

This book serves as an invaluable resource for researchers, practitioners, and professionals engaged in or adjacent to agricultural production. It caters to a diverse audience, including engineers specializing in machine learning and AI, operations management, decision analysis, information analysis, and many others. The volume encompasses specific advancements in the field, such as:

Big data management from heterogeneous sources
Data mining within large data sets
Data fusion and visualization
IoT-based management systems
Data Knowledge Management for converting data into valuable information

By presenting a holistic and interdisciplinary perspective, this volume contributes to the ongoing efforts to harness the power of technology and innovation in agriculture, driving sustainable growth and improved productivity in the sector.

Weight: 468g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030841508
Edition number: 1st ed. 2022