Biophysical parameters of coffee crop estimated by UAV RGB images
Abstract
The advance of digital agriculture combined with computational tools and Unmanned Aerial Vehicles (UAVs) has enabled the collection of data for reliably extracting vegetation indices and biophysical parameters derived from the Structure from Motion (SfM) algorithm. This work aimed to evaluate the accuracy of the photogrammetry technique using an SfM point cloud for the estimation of the height (h) and crown diameter (d) of coffee trees from...
Paper Details
Title
Biophysical parameters of coffee crop estimated by UAV RGB images
Published Date
Apr 22, 2020
Journal
Volume
21
Issue
6
Pages
1227 - 1241
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History