Yield Mapping In Chickpea Adopting A 3D Machine Vision Approach. Yield Mapping in Chickpea Adopting A 3D Machine Vision Approach

Contributo in Atti di convegno
Data di Pubblicazione:
2018
Abstract:
The present study applied the structure-from-motion with photogrammetric approach from Unmanned Aerial Vehicles (UAVs) images for 3D reconstructed chickpea plants' volume in order to quantify the biomass yield under open field conditions.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Precisione Agriculture; Machine Visione; Legume Yield
Elenco autori:
Autori di Ateneo:
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/345230