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Artificial Intelligence and Advanced Analytics for Food Security
Artificial Intelligence and Advanced Analytics for Food Security
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- More about Artificial Intelligence and Advanced Analytics for Food Security
This book provides a comprehensive overview of Machine Learning, Artificial Intelligence, and Data Science techniques to address supply-chain and food production issues, ensure Small Farms economic sustainability, and address emerging food-versus-fuel tensions. It also covers extensive Time Series analysis and Sensor, real-time analytics using IoT.
Format: Hardback
Length: 540 pages
Publication date: 17 July 2023
Publisher: Taylor & Francis Ltd
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Provides comprehensive Machine Learning, Artificial Intelligence, and Data Science techniques.
Heuristics and mathematical optimization techniques are studied to address supply-chain and food production issues.
Provides a comprehensive Macroeconomic and Agricultural Economics data science techniques to ensure Small Farms economic sustainability that is key to food security.
Covers emerging food-versus-fuel tensions that are forcing farmers to use agricultural innovation and data science techniques to produce more to ensure food security.
Covers extensive Time Series analysis on the World Bank, the United Nations Food and Agriculture (FAO) Organization, the International Monetary Fund, the United States Department of Agriculture (USDA), and many other national datasets to develop Machine Learning and Heuristics models to solve prevailing food security issues.
Provides a comprehensive Sensor, real-time analytics using Internet of Things (IoT).
Covers full stack development aspects of Heuristics, IoT, and Artificial Intelligence from Software developers perspective.
Weight: 1170g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032346182
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