About this Research Topic
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.
To gather further insights into the comprehensive role of AI in the food sector, we welcome articles addressing, but not limited to, the following themes:
• Precision agriculture: AI applications for crop monitoring, yield prediction, and resource optimization.
• Food processing: AI-driven quality control, automation, and efficiency improvements.
• Supply chain management: AI for traceability, demand forecasting, and waste reduction.
• Personalized nutrition: AI's impact on consumer health and well-being.
• Food safety monitoring: AI technologies ensuring food safety and compliance.
• Ethical considerations: Addressing the challenges and ethical implications of AI in the food sector.
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.
To gather further insights into the comprehensive role of AI in the food sector, we welcome articles addressing, but not limited to, the following themes:
• Precision agriculture: AI applications for crop monitoring, yield prediction, and resource optimization.
• Food processing: AI-driven quality control, automation, and efficiency improvements.
• Supply chain management: AI for traceability, demand forecasting, and waste reduction.
• Personalized nutrition: AI's impact on consumer health and well-being.
• Food safety monitoring: AI technologies ensuring food safety and compliance.
• Ethical considerations: Addressing the challenges and ethical implications of AI in the food sector.
Keywords: Machine Learning, Smart Agriculture, Precision Agriculture, Sustainable Food Production, Digital Transformation, Society Affiliation RT
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
