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Transforming Agriculture with Intelligent Solutions
Abstract
This paper explores the transformation of agriculture through intelligent solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is revolutionizing various aspects of agriculture, including crop management, pest control, and yield optimization. The study highlights the application of AI techniques such as remote sensing, predictive analytics, and precision farming in improving productivity, sustainability, and resilience in agricultural systems. Additionally, it discusses the integration of AI with drones, IoT sensors, and farm management software to enable real-time monitoring, data-driven decision-making, and autonomous farming operations. The paper also addresses challenges such as data interoperability, rural connectivity, and farmer adoption in the deployment of AI-driven engineering solutions in agriculture. It emphasizes the importance of knowledge transfer, capacity building, and inclusive innovation in harnessing AI's potential to address global food security challenges and promote sustainable agricultural development.
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