Intelligent Techniques in Food Production Systems

Dear Colleagues,

The integration of intelligent technologies in food production systems is transforming the way food is cultivated, processed, and distributed, ensuring greater efficiency, sustainability, and resilience. Artificial intelligence (AI)-, machine learning-, and IoT-enabled solutions are optimizing critical processes such as precision agriculture, crop monitoring, resource allocation, and supply chain management. These technologies enable predictive analytics for pest control, weather forecasting, and yield optimization, significantly reducing waste and environmental impact. Robotics and automation enhance food processing and packaging, improving speed, safety, and quality control. Semantic analysis and AI-driven data processing foster real-time decision-making and adaptive management across the value chain. By addressing challenges such as climate change, resource scarcity, and food security, intelligent techniques are reshaping food production systems to meet growing global demand while promoting ethical and sustainable practices. In this Special Issue, we welcome theoretical and practical research that addresses the use of AI in food production systems.

Prof. Dr. Rodrigo Martínez Béjar
Guest Editor

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