AI-Driven Probabilistic Instability Monitoring of Agricultural Gullies Using UAV LiDAR Geometry and In-Field Soil Moisture Sensing

Mar 26, 2026

Poster Agrifood 2026 (CARCAVA)

Enlace página AI-AGRIFOOD 2026: https://www.uco.es/catedrasyaulas/catedraiaagri/ai-agrifood-2026/
Córdoba, España, 19–20 marzo 2026

Resumen del póster:
Gully erosion threatens soil sustainability in Mediterranean olive orchards, accelerating soil loss and sediment
delivery to downstream infrastructure. Despite growing deployment of soil-moisture probes on farms, these data
streams are rarely converted into operational instability indicators for gully banks.
This work develops an AI-driven data-fusion pipeline combining UAV LiDAR geometry with continuous soil-moisture sensing to produce interpretable, probabilistic instability indicators for early warning and prioritised field inspection in agricultural gullies.

 

Descarga el póster: Poster Agrifood 2026 (CARCAVA)