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Springer Data Science in Agriculture and Natural Resource Management - Studies in Big Data 96

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£125.35 £110.43 £113.69 £116.94 £120.20 £123.45 £126.71 25 July 2026 12 August 2026 30 August 2026 17 September 2026 05 October 2026
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1 day · current 19 days 23 days 14 days 16 days 0 6 12 17 23 £112 £120 £121 £122 £125 Days at Price

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Most common price: £121 (23 days, 31.5%)

Price range: £112 - £125

Price levels: 5 different prices over 73 days

Description

This comprehensive book addresses emerging challenges in agriculture and natural resource management by applying data science principles and methodologies. Organised into three sections with fourteen specialised chapters, it provides practical insights from leading experts who share real-world experiences through detailed case studies, illustrations and tables. The content covers geospatial analysis, data science applications, agricultural sciences, natural resources and environmental management, making it suitable for students and professionals at traditional universities, agricultural universities and technical institutions seeking to integrate data-driven approaches into land and resource management practices.

Key Features

Springer publication offering fourteen chapters written by subject matter experts in agriculture and data science fields.

Three-section structure systematically covering specialised areas of agricultural and natural resource applications.

Case studies and illustrated examples demonstrate practical data science implementations in real-world agricultural scenarios.

Content designed for geospatial, agricultural, natural resource and environmental science programmes at academic institutions.

Bridges traditional agricultural knowledge with contemporary data science methodologies and analytical techniques.

Product Specifications

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

Barcode

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