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

Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Precisione Agriculture; Machine Visione; Legume Yield
List of contributors:
Riggi, Ezio; Avola, Giovanni; Cantini, Claudio
Authors of the University:
AVOLA GIOVANNI
CANTINI CLAUDIO
RIGGI EZIO
Handle:
https://iris.cnr.it/handle/20.500.14243/345230
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