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商品詳細
AI and IoT Innovations in Post-Harvest Management of Food Grains and Vegetables.
・ISBN 978-3-032-27807-4 hard EUR 199.99
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| 著者・編者 | Chandra Deka, Sankar / Nickhil, C. / Mohapatra, Debabandya (eds.), |
|---|---|
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 338 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-70365＞ |
解説
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.