Authors: Gabriela Calvario, Basilio Sierra, Teresa E. Alarcón, Carmen Hernandez and Oscar Dalmau
Content Provider: PubMed Central (PMC)
The use of Unmanned Aerial Vehicles (UAVs) based on remote sensing has generated low cost monitoring, since the data can be acquired quickly and easily. This paper reports the experience related to agave crop analysis with a low cost UAV. The data were processed by traditional photogrammetric flow and data extraction techniques were applied to extract new layers and separate the agave plants from weeds and other elements of the environment. Our proposal combines elements of photogrammetry, computer vision, data mining, geomatics and computer science. This fusion leads to very interesting results in agave control. This paper aims to demonstrate the potential of UAV monitoring in agave crops and the importance of information processing with reliable data flow.
Copyright © 2017 by the authors.
Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Illustration Photo: DJI Phantom 4 drone (credits: Andri Koolme / Flickr Creative Attribution 2.0 Generic (CC BY 2.0))