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Springer Optimization Under Uncertainty in Sustainable Agriculture

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Description

This Springer publication addresses the critical intersection of optimisation methods and sustainable agricultural practices in an era of climate variability and resource constraints. The book provides comprehensive coverage of quantitative approaches to managing uncertainty in agrifood systems, from farm-level decision-making to supply chain management. Readers gain practical frameworks for balancing productivity, environmental stewardship, and economic viability whilst navigating unpredictable market conditions, weather patterns, and regulatory landscapes. The text combines theoretical foundations with real-world case studies relevant to modern agricultural businesses, food processors, and policy makers seeking evidence-based strategies for resilience and efficiency. Essential for professionals in agricultural management, operations research, and sustainable business development.

Key Features

Springer-published academic resource covering optimisation techniques for agricultural uncertainty and risk management.

Addresses sustainable agrifood industry challenges including supply chain resilience and resource allocation.

Integrates management science principles with agricultural and environmental considerations for practical application.

Combines theoretical optimisation models with real-world case studies in farming and food production sectors.

Suitable for agricultural managers, researchers, and business professionals seeking quantitative decision-making tools.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 March 2024
Listed Since
31 October 2023

Barcode

No barcode data available

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