About this Research Topic
With the rapid advancement of AI technologies, the food industry is undergoing transformative changes, impacting various facets from production to consumption. AI is revolutionizing agricultural practices through precision farming, optimizing resource utilization, and enhancing crop yield predictions. In food processing, AI contributes to quality control, automation, and supply chain management, ensuring efficiency and safety. Additionally, AI-driven innovations in personalized nutrition, food safety monitoring, and consumer engagement are shaping the future of the food industry. This special issue seeks to comprehensively define the multifaceted applications of AI, addressing challenges and exploring opportunities for a more sustainable, efficient, and technology-driven food ecosystem.
The food sector is encountering challenges that demand innovative solutions, and Artificial Intelligence (AI) holds immense potential to address these issues. Inefficient agricultural practices, unpredictable climate patterns, and global supply chain complexities jeopardize food security. The application of AI in precision agriculture can optimize resource management, enhance crop yield predictions, and mitigate environmental impact. In the food processing and distribution domain, AI offers solutions for quality control, traceability, and demand forecasting, promoting efficiency and reducing waste. Additionally, AI-driven personalized nutrition and food safety monitoring can revolutionize consumer well-being. To achieve these advancements, research needs to define the comprehensive role of AI in the food sector, identify obstacles to implementation, and propose strategies for seamless integration. Understanding and harnessing AI's capabilities can propel the food industry toward a more sustainable, resilient, and technologically advanced future.
This research topic aims to explore and define the multifaceted role of Artificial Intelligence (AI) in the food sector, encompassing various themes critical for its comprehensive understanding and effective implementation. Contributors are encouraged to delve into precision agriculture, investigating AI applications for crop monitoring, yield prediction, and resource optimization. The role of AI in food processing, distribution, and supply chain management should be explored, emphasizing quality control, traceability, and demand forecasting. Additionally, researchers can address AI-driven personalized nutrition, considering its impact on consumer health and well-being. Manuscripts discussing the challenges and ethical considerations associated with AI in the food sector are welcomed. We invite original research, reviews, and case studies that contribute to elucidating the transformative potential of AI in enhancing sustainability, efficiency, and innovation across the entire food industry landscape.
The food sector is encountering challenges that demand innovative solutions, and Artificial Intelligence (AI) holds immense potential to address these issues. Inefficient agricultural practices, unpredictable climate patterns, and global supply chain complexities jeopardize food security. The application of AI in precision agriculture can optimize resource management, enhance crop yield predictions, and mitigate environmental impact. In the food processing and distribution domain, AI offers solutions for quality control, traceability, and demand forecasting, promoting efficiency and reducing waste. Additionally, AI-driven personalized nutrition and food safety monitoring can revolutionize consumer well-being. To achieve these advancements, research needs to define the comprehensive role of AI in the food sector, identify obstacles to implementation, and propose strategies for seamless integration. Understanding and harnessing AI's capabilities can propel the food industry toward a more sustainable, resilient, and technologically advanced future.
This research topic aims to explore and define the multifaceted role of Artificial Intelligence (AI) in the food sector, encompassing various themes critical for its comprehensive understanding and effective implementation. Contributors are encouraged to delve into precision agriculture, investigating AI applications for crop monitoring, yield prediction, and resource optimization. The role of AI in food processing, distribution, and supply chain management should be explored, emphasizing quality control, traceability, and demand forecasting. Additionally, researchers can address AI-driven personalized nutrition, considering its impact on consumer health and well-being. Manuscripts discussing the challenges and ethical considerations associated with AI in the food sector are welcomed. We invite original research, reviews, and case studies that contribute to elucidating the transformative potential of AI in enhancing sustainability, efficiency, and innovation across the entire food industry landscape.
Keywords: Machine Learning, Smart Agriculture, Precision Agriculture, Sustainable Food Production, Digital Transformation, Society Affiliation RT
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