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Springer Digital Ecosystem for Innovation in Agriculture Book

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Description

Explore the latest findings in agricultural digitalization with this comprehensive volume from Springer. Part of the Studies in Big Data series, this book covers the essential frameworks and technologies required for modern agricultural innovation. Organized into two distinct sections containing thirteen chapters, the text examines data processing methods, decision-making processes, and the development of innovative services. Readers gain a clear overview of the technologies enabling digital transformations in the field. Each chapter is written by experts who share practical experiences through detailed case studies and suitable illustrations, making complex topics accessible through lucid language.

Key Features

This Springer publication is part of the Studies in Big Data series, specifically volume 121.

The book contains thirteen chapters organized into two sections covering specialized areas of agricultural innovation.

Expert contributors provide real-world insights through case studies and suitable illustrations.

Content covers essential topics including data processing methods and decision-making processes for digital agriculture.

The text provides a detailed overview of the frameworks and technologies used in digital transformations.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
21 May 2024
Listed Since
22 May 2024

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