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Empowering Agriculture with Intelligent Solutions
Abstract
This paper explores the empowerment of agriculture through intelligent solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is revolutionizing traditional agricultural practices, including crop management, pest control, and yield prediction. The study highlights the application of AI techniques such as remote sensing, precision agriculture, and crop modeling in optimizing resource use, minimizing environmental impact, and increasing productivity in agriculture. Additionally, it discusses the integration of AI with drones, sensors, and autonomous machinery to enable smart farming, real-time monitoring, and decision support for farmers. The paper also addresses challenges such as data interoperability, rural connectivity, and farmer adoption in the adoption of AI-driven engineering solutions in agriculture. It emphasizes the importance of knowledge transfer, stakeholder engagement, and policy support in leveraging AI's potential to empower farmers, ensure food security, and promote sustainable agriculture.
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