SolarSPELL: TinyML for soil sensing
Interdisciplinary
Adnan Al Muhesen, Swadheen Bhowal, Krishna Challa, Margaret Chilinda, Nitish Dyapa, Jonathan Hernandez, Josia Vargheese Thomas, Oliver Permana, Pratham Prasanna, Kyle Rathjen, Febylina Rumwaropen, Matt Sedon
Summary
Access to reliable soil data can be limited in off-grid agricultural settings, making it difficult to assess soil health. This project addresses that challenge by developing a soil sensing system that uses TinyML to process data locally without internet access. The system measures temperature, moisture, phosphate levels and salinity, and connects to an Android application for on-site use. The goal is to provide a low-cost, accessible tool that supports agricultural decision-making and helps evaluate soil health improvements.
Sponsor
