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Revolutionizing Secure Supply Chains with IoT and AI: Advancing Smart and Sustainable Solutions

  • B. Thamotharan,
  • Sundaravadivazhagan Balasubramanian,
  • A. L. Sriram

摘要

AI-based optimized organic farming leverages advanced technologies such as GPS, soil scanning, data management, IoT, and machine learning to revolutionize agricultural practices. These innovations improve both the quality and quantity of yields while addressing global challenges like population growth, climate change, and labor shortages. By integrating IoT sensors to monitor light, humidity, temperature, and soil moisture, automated systems streamline processes such as irrigation and fertilization, significantly reducing environmental impact. IoT technology transforms traditional farming operations into data-driven ecosystems, enabling precise decision-making at every stage—from planting to harvesting. Machine learning algorithms analyze this data to enhance productivity and sustainability, optimizing resource usage and reducing waste.