Information and Communication Technologies for Agriculture—Theme II: Data
Dionysis D. Bochtis (Redaktør) Dimitrios E. Moshou (Redaktør) Giorgos Vasileiadis (Redaktør) Athanasios Balafoutis (Redaktør) Panos M. Pardalos (Redaktør)
This volume is the second (II) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Les mer
The first part of this book (II) focuses on data technologies in relation to agriculture and presents three key points in data management, namely, 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 in the domain. Part 3 examines the added value of data management within agricultural products value chain.
The book provides an exceptional reference for those researching and working in or adjacent to agricultural production, including engineers in machine learning and AI, operations management, decision analysis, information analysis, to name just a few.
Specific advances covered in the volume:
Big data management from heterogenous sources
Data mining within large data sets
Data fusion and visualization
IoT based management systems
Data Knowledge Management for converting data into valuable information
Metadata and data standards for expanding knowledge through different data platforms
AI - based image processing for agricultural systems
Data - based agricultural business
Machine learning application in agricultural products value chain
Detaljer
- Forlag
- Springer Nature Switzerland AG
- Innbinding
- Innbundet
- Språk
- Engelsk
- Sider
- 288
- ISBN
- 9783030841478
- Utgivelsesår
- 2022
- Format
- 24 x 16 cm