An open access journal
Transforming Agriculture and Food Systems
Abstract
This paper explores the transformative impact of AI-driven engineering on agriculture and food systems. Through case studies and research insights, it examines how artificial intelligence is revolutionizing traditional farming practices, increasing agricultural productivity, and promoting food security. The study highlights the application of AI techniques such as precision agriculture, crop monitoring, and yield prediction in optimizing resource management, reducing environmental impact, and improving crop yields. Additionally, it discusses the integration of AI with IoT sensors, drones, and satellite imagery to enable real-time monitoring and decision-making in farming operations. The paper also addresses challenges such as data privacy, rural connectivity, and farmer adoption in the deployment of AI-driven engineering solutions in agriculture. It emphasizes the need for collaboration, capacity-building, and policy support to leverage AI's potential in creating more sustainable, resilient, and equitable food systems for the future.
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References
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