Artificial Intelligence and Advanced Analytics for Food Security 1st Edition

Capture the future of resilient food systems with Artificial Intelligence and Advanced Analytics for Food Security, 1st Edition by Chandrasekar Vuppalapati. This authoritative guide spotlights how AI, machine learning, remote sensing, and big-data analytics are transforming agricultural production, supply chains, and policy-making worldwide.

Dive into practical frameworks and case studies that translate complex algorithms into actionable insights for farmers, agronomists, policymakers, and development professionals. The book unpacks predictive modeling for yield estimation, anomaly detection for pest and disease outbreaks, climate-resilient planning, and optimization of logistics — all with an eye toward real-world implementation across regional contexts from South Asia and Africa to Latin America and Europe.

Readers will appreciate a clear, methodical approach that balances theory and practice: data sources and preprocessing, model selection, validation strategies, and ethical considerations including data privacy and equity in smallholder systems. The text equips decision-makers with tools to forecast food shortages, reduce post-harvest loss, and design targeted interventions that improve food security at local and national scales.

Whether you’re a researcher seeking advanced methodologies, a policy advisor designing evidence-based programs, or an industry practitioner deploying analytics in the field, this book delivers rigorous yet accessible guidance. Benefit from actionable insights, reproducible workflows, and regionally adaptable solutions that support sustainable food systems in a changing climate.

Secure a copy of Artificial Intelligence and Advanced Analytics for Food Security today and lead the data-driven transformation of agriculture and food security initiatives worldwide.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.