This team applied Tiny Machine Learning, or TinyML, to enhance the SolarSENSE off-grid, solar-powered soil sensor. The system measures temperature, moisture, phosphate and salinity, with an ESP32 microcontroller processing the data locally using TinyML. Results are delivered to a smartphone via offline Wi-Fi, eliminating the need for internet access. Designed for small-scale farms, this solution…