This collaborative project between TIH-IoT, IIT Bombay and ICAR-DOGR aims to validate an IoT and machine learning-based decision support system for onion farmers. The system integrates the SAMBHAV™ IoT device with the i-SARATHI mobile application to provide real-time field data and actionable advisories. SAMBHAV monitors key soil, plant, and weather parameters, while i-SARATHI uses this data alongside predictive disease models to guide farmers on optimal pesticide and fertilizer use.The solution will be field-tested across multiple farms, comparing its performance with conventional practices to assess improvements in yield, quality, and input efficiency. The goal is to reduce overuse of chemicals, improve disease management, and enhance farm productivity. By equipping 200–300 farmers with this technology and deploying UAV-based imaging, the project also aims to address adoption challenges and build a scalable model for sustainable onion farming in India.
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