SENSOR DESIGN, DEPLOYMENT, AND ANALYTICS FOR DIGITAL AGRICULTURE & CONSERVATION

Catalog description

Emphasizes applied, hands‑on learning in digital agriculture and conservation data analytics using Python and Arduino‑class microcontrollers. Develops skills to acquire, clean, analyze, and visualize sensor data; implement communication protocols (Serial, I2C, Wi‑Fi); and build a progressive hardware–software workflow culminating in an integrated IoT prototype for agricultural, conservation, or natural resource applications. Discusses best practices for data, reproducible code, and stakeholder‑oriented dashboards.