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.

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.- 

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.

Emphasizes the latest developments and achievements in AI and related technologies Demonstrates how AI can be used in applications, making food production more prosperous, healthy, and profitable Shows how the food industry can be improved using artificial intelligence

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