Title: AI-Enabled Smart Storage System for Onions


Authors: Ansh Rathore, Disha Asija, Ifrah Qureshi, Eklavya Jangid, Nisha Rathi, Ashish Anjana


Published in: Volume 3 Issue 1 Jan June 2026, Page No. 147-150


DOI: 10.63844/IJAITR.v3.i1.2026.147-150 cite


Keywords: AI/ML, BLE Gateway, BME680 Sensor, IoT,Post-Harvest Losses, Smart Agriculture, Sustainable Storage.


Abstract: This is a sustainable and smart solution to diminish the impact of post-harvest spoilage of onions, which leads to a significant loss of money and variation in market pricing. Traditional storage methods cannot monitor and control in a scientific manner resulting in large losses of onions (30–40%), and resources such as water, electricity, and labor. The smart and affordable solution that is friendly to farmers uses sensors and AI/ML-based analytics that continuously monitor and maintain ideal storage conditions. The sensors detect temperature, humidity, and gas concentration. The condition is maintained only by controlling fans, heaters, and infrared lamps when required, ensuring the conservation of energy and reliability. The farmer will be notified through local alerts such as buzzers and light or alarms which will function even without internet connectivity keeping the farmer or cold storage operator informed about the immediate warning. The system also provides easy-to-implement and feasible future recommendations to correct the storage situation (ventilation, charcoal, etc.). The multilingual interface and low need for resources (land, water, and electricity) make the system adaptable to a variety of crops and storage and market scales. To make it even more sustainable, an optional solar-powered system could also be implemented. Together, the system using sensors, automation, and embedded AI/ML intelligence minimizes spoilage, improves onion quality and allows the farmers to sell their stored onions at better quality, which leads to higher income, less post-harvest loss and waste, and provides a cost-effective, sustainable solution that requires less effort to scale overtime.


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