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£119.63
Springer Data Science in Agriculture and Natural Resource Management
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Description
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
- Brand
- Springer
- Format
- paperback
- ASIN
- 9811658498
- Domain
- Amazon UK
- Release Date
- 13 October 2022
- Listed Since
- 15 September 2022
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