Iot-Driven Smart Warehouse for Post-Harvest Onion Loss Reduction
Diya Patel
, Dimpal Jadhav , Sakshi Hande , Hemangi Jadhav
Internet of Things (IoT), Smart Warehouse, Onion Storage Monitoring, Environmental Monitoring, Arduino, Sensor-Based Automation, Post-Harvest Loss Reduction, Cloud-Based Monitoring.
Post-harvest losses in onion storage remain a major concern due to improper control of environmental and safety conditions inside warehouses. Variations in temperature, humidity, gas accumulation, and fire hazards significantly affect onion quality, shelf life, and market value. Conventional storage systems rely largely on manual monitoring, which is inefficient and prone to delays, especially in large-scale warehouses. To address these challenges, this paper presents the design and implementation of an IoT-based smart onion warehouse monitoring and control system.
The proposed system integrates multiple sensors, including temperature and humidity sensors, gas and smoke sensors, flame sensors, and light sensors, with an Arduino-based controller. Real-time sensor data is continuously collected and transmitted to a cloud platform using IoT technology, enabling remote monitoring through a web interface. When abnormal conditions are detected, the system automatically activates control mechanisms such as ventilation and lighting systems and sends alert notifications to warehouse personnel for timely action. Local monitoring is also supported through an LCD display and buzzer alerts.
The developed system improves storage efficiency by maintaining optimal environmental conditions, enhancing safety through early hazard detection, and reducing dependence on manual inspection. By minimizing post-harvest losses and ensuring better quality preservation, the proposed solution offers a cost-effective and scalable approach for smart agricultural storage management.
"Iot-Driven Smart Warehouse for Post-Harvest Onion Loss Reduction", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.11, Issue 1, page no.b459-b462, January-2026, Available :https://ijsdr.org/papers/IJSDR2601157.pdf
Volume 11
Issue 1,
January-2026
Pages : b459-b462
Paper Reg. ID: IJSDR_307016
Published Paper Id: IJSDR2601157
Downloads: 000229
Research Area: Science and Technology
Country: Nashik, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
