Chandra Deka AI and IoT Innovations in Post-Harvest Management of Food Grains and Vegetables

AI and IoT Innovations in Post-Harvest Management of Food Grains and Vegetables

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Beschreibung

This book offers a comprehensive exploration of advanced post harvest technologies, providing valuable insights into the complex world of food processing. The chapters provide researchers with an introduction to AI and IoT in post-harvest systems for food grains and vegetables and its use in enhancing post-harvest systems efficiency. Important uses such as AI-driven quality assessment of grains and vegetables, AI in grain and vegetable quality assessment and IoT sensors for real-time monitoring of grain storage conditions:  The text examines IoT for real-time grain storage monitoring and automated sorting and grading systems in vegetables using machine vision, including reviews of machine vision in vegetable sorting and grading, predictive analytics for post-harvest shelf-life extension in vegetables.

AI and IoT Innovations in Post-Harvest Management of Food Grains and Vegetables presents a full overview of predictive analytics extending post-harvest shelf-life in vegetables including smart packaging technologies for improved shelf life, blockchain and traceability in grain supply chains and impact on grain supply chain using Blockchain. Whether you are an aspiring engineer, a seasoned expert, or a curious consumer, this comprehensive guide offers a deep understanding of the complexities and innovations in food processing, addressing critical challenges and charting a course towards a safer, more sustainable food future.


This book offers a comprehensive exploration of advanced post harvest technologies, providing valuable insights into the complex world of food processing. The chapters provide researchers with an introduction to AI and IoT in post-harvest systems for food grains and vegetables and its use in enhancing post-harvest systems efficiency. Important uses such as AI-driven quality assessment of grains and vegetables, AI in grain and vegetable quality assessment and IoT sensors for real-time monitoring of grain storage conditions:  The text examines IoT for real-time grain storage monitoring and automated sorting and grading systems in vegetables using machine vision, including reviews of machine vision in vegetable sorting and grading, predictive analytics for post-harvest shelf-life extension in vegetables.

AI and IoT Innovations in Post-Harvest Management of Food Grains and Vegetables presents a full overview of predictive analytics extending post-harvest shelf-life in vegetables including smart packaging technologies for improved shelf life, blockchain and traceability in grain supply chains and impact on grain supply chain using Blockchain. Whether you are an aspiring engineer, a seasoned expert, or a curious consumer, this comprehensive guide offers a deep understanding of the complexities and innovations in food processing, addressing critical challenges and charting a course towards a safer, more sustainable food future.


Offers a comprehensive exploration advanced post harvest technologies through artificial intelligence Explores AI and IoT use for efficiency and extended shelf life in post-harvest systems for food grains and vegetables Discusses the role of AI in grain and vegetable quality assessment

Autor*in

Sankar Chandra Deka

Themen in »AI and IoT Innovations in Post-Harvest Management of Food Grains and Vegetables«

Artificial Intelligence Post-harvest management Grains Agricultural technology Quality control Supply chain Food waste reduction Smart agriculture Smart packaging Shelf life Active packaging Spoilage indicators Controlled atmosphere Food preservation Food supply chain

Stimmen zu »AI and IoT Innovations in Post-Harvest Management of Food Grains and Vegetables«

Details

ISBN: 9783032278074
Verlag: Springer International Publishing
Erscheinung: 05.08.2026

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