Artificial Intelligence in Food Science

Artificial Intelligence in Food Science by Tanmay Sarkar and Anandakumar Haldorai is a timely, practical guide that connects cutting‑edge AI techniques with real‑world food industry challenges. Whether you work in food R&D, quality assurance, supply chain management, or agri‑tech innovation, this book cuts through complexity to show how machine learning, computer vision, and predictive analytics are reshaping food science across India, North America, Europe and emerging Asian markets.

Discover clear, example‑driven chapters on data‑driven quality control, predictive shelf‑life modeling, sensory analysis with AI, and automation in processing plants. Each section balances theory with actionable workflows and case studies, making advanced topics like neural networks and IoT integration approachable for scientists and industry leaders alike.

Imagine faster product development, fewer recalls, optimized ingredient sourcing, and smarter traceability systems—this book shows you how to make those gains. Practical illustrations and model frameworks help food technologists, startup founders, and academic researchers implement solutions that reduce costs and improve safety and sustainability.

Written in an authoritative yet accessible tone, Artificial Intelligence in Food Science is an essential reference for professionals aiming to future‑proof operations and for students preparing to enter a data‑driven food sector. Elevate your expertise, drive measurable outcomes, and lead innovation in the global food ecosystem—add this indispensable resource by Tanmay Sarkar and Anandakumar Haldorai to your library today.

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