Solar Powered Grapes Drying System Using Image Processing
Conventional sun drying of grapes takes 7–12 days and suffers from contamination, uneven drying,and weather dependence. We present a smart, solar-powered drying system that uses a black acrylic tube tocollect heat, a Raspberry Pi 5 with a DHT22 sensor for real-time monitoring, and a machine learning modelto predict grape moisture. Heating (fan + IR lamp) is automatically switched off once grapes reach ~20%moisture, reducing drying time to 3–5 days. Remote monitoring via Blynk IoT and on-device display ensureuser convenience. Experimental trials show consistent quality, energy savings, and ease of operation.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-07
- DOI
- https://doi.org/10.5281/zenodo.15615688
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00