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.

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

Avola G;Cantini C;Riggi E
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.
2018
Istituto per la Valorizzazione del Legno e delle Specie Arboree - IVALSA - Sede Sesto Fiorentino
978-88-904387-4-5
Precisione Agriculture
Machine Visione
Legume Yield
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/345230
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