The integration of Internet of Things technologies in millet processing presents a transformative approach to attaining efficiency, sustainability, and traceability across the entire value chain. Millets, known for their nutritional richness and climate resilience, face persistent challenges related to inconsistent yields, post-harvest losses, and limited quality monitoring. IoT-based smart systems realize real-time data acquisition and predictive analytics over soil quality, crop health, post-harvest handling, and storage through sensor networks, cloud computing, AI, and blockchain. Those systems support precision agriculture through the monitoring of key parameters such as moisture, temperature, and nutrient levels, while advanced sensing and automation enhance drying, dehulling, and packaging operations. Second, the IoT has improved supply chain tracking to enhance transparency and the authentication of products through digital traceability tools. Besides having such potential, the major challenges to widespread adoption of these technologies by farmers include their high implementation costs, data management complexity, and issues over the general low digital literacy and connectivity levels in rural regions. Infrastructure strengthening, along with the encouragement of digital education and the development of cost-effective sensor technologies, is a priority that has to be undertaken to unleash the full potential of the IoT toward sustainable millet production and processing.

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IoT Applications in Millet Processing

  • Ug Praveena,
  • L. Mahalakshmi,
  • C. Anandharamakrishnan

摘要

The integration of Internet of Things technologies in millet processing presents a transformative approach to attaining efficiency, sustainability, and traceability across the entire value chain. Millets, known for their nutritional richness and climate resilience, face persistent challenges related to inconsistent yields, post-harvest losses, and limited quality monitoring. IoT-based smart systems realize real-time data acquisition and predictive analytics over soil quality, crop health, post-harvest handling, and storage through sensor networks, cloud computing, AI, and blockchain. Those systems support precision agriculture through the monitoring of key parameters such as moisture, temperature, and nutrient levels, while advanced sensing and automation enhance drying, dehulling, and packaging operations. Second, the IoT has improved supply chain tracking to enhance transparency and the authentication of products through digital traceability tools. Besides having such potential, the major challenges to widespread adoption of these technologies by farmers include their high implementation costs, data management complexity, and issues over the general low digital literacy and connectivity levels in rural regions. Infrastructure strengthening, along with the encouragement of digital education and the development of cost-effective sensor technologies, is a priority that has to be undertaken to unleash the full potential of the IoT toward sustainable millet production and processing.