UID:
almahu_9949420156102882
Format:
VII, 153 p. 57 illus., 44 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9783031137020
Series Statement:
Studies in Computational Intelligence, 1000
Content:
This book emphasizes the latest developments and achievements in AI and related technologies with a special focus on food quality. The book describes the applications, and conceptualization of ideas, and critical surveys covering most aspects of AI for food quality.
Note:
Application of Artificial Intelligence in the Food Industry: AI-based Automatic Pruning of Dormant Apple Trees -- Wheat Leaf-Disease Detection Using Machine Learning Techniques for Sustainable Food Quality -- Explainable AI and Slime Mould Algorithm for Classification of Pistachio Species -- A Support Vector Machine Model for Rice (Oryza sativa L.) Leaf Diseases Based on Particle Swarm Optimization -- CNN in Agriculture and Food Industry: Current Practices and Future Trends -- Utilization of Artificial Intelligence in the Food Industry -- Transfer learning-based models for Arabica coffee leaf disease classification -- Potential of IoT for Water Monitoring to Upgrade Food Quality -- .
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031137013
Additional Edition:
Printed edition: ISBN 9783031137037
Additional Edition:
Printed edition: ISBN 9783031137044
Language:
English
Subjects:
Computer Science
DOI:
10.1007/978-3-031-13702-0
URL:
https://doi.org/10.1007/978-3-031-13702-0
URL:
Volltext
(URL des Erstveröffentlichers)
