£119.63

Springer Data Science in Agriculture and Natural Resource Management

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£124.35 £111.44 £114.25 £117.07 £119.89 £122.71 £125.52 23 February 2026 09 March 2026 24 March 2026 08 April 2026 23 April 2026

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Description

Address emerging challenges in agriculture and natural resource management through the application of data science. This specialized volume, part of the Studies in Big Data series, provides a structured approach to solving complex problems using modern computational principles. Organized into three comprehensive sections, the book features fourteen chapters written by industry experts. Each chapter uses case studies, tables, and illustrations to explain complex concepts clearly. This resource is designed to serve the specific needs of geospatial, data science, agricultural, natural resources, and environmental sciences. Whether you are studying at a traditional university or an agricultural technical institution, this book offers practical insights into how big data and data science can be applied to manage our natural world. It serves as a vital resource for students and professionals looking to integrate data-driven methods into environmental and agricultural management practices.

Key Features

Expertly written chapters by specialists sharing practical experiences through real-world case studies.

Comprehensive coverage across three distinct sections and fourteen specialized chapters.

Includes suitable illustrations and tables to help clarify complex data science concepts.

Designed for diverse academic needs including geospatial, environmental, and agricultural sciences.

Part of the Studies in Big Data series (Volume 96) for academic and professional research.

Provides a clear and lucid approach to applying data science principles in natural resource management.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
13 October 2022
Listed Since
15 September 2022

Barcode

No barcode data available

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