An IoT-Enabled Smart Cold Storage System for Real-Time Environmental Monitoring and Automated Control of Perishable Commodities

The study develops and experimentally validates a low-cost IoT cold storage system that integrates multi-parameter sensing, automated environmental control, spoilage-gas detection, and local/cloud-based alerts. The prototype maintains temperature within ±1°C of the 4°C setpoint, achieves 93% humidity-range compliance, and provides an average 2.8-second alert response, demonstrating its practical potential for resource-constrained cold storage facilities.