Focuses on AI‑driven sensing for precision agriculture—combining hyperspectral and RGB imagery from UAVs and ground platforms to detect weeds, pests, and disease, map crops, and guide in‑field navigation and spraying. Also explores transfer learning, edge connectivity, and open‑source models.