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Sensors 2017, 17(6), 1411;

A Multi-Disciplinary Approach to Remote Sensing through Low-Cost UAVs

Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasco UPV/EHU, 20018 Donostia-San Sebastián, Spain
Centro Universitario de los Valles, Carretera Guadalajara - Ameca Km. 45.5, CP 46600 Ameca, Jalisco, México
Centro de Investigación en Matemáticas, Jalisco SN, Col. Valenciana, CP 36240, Guanajuato, México
Author to whom correspondence should be addressed.
Academic Editor: Felipe Gonzalez Toro
Received: 31 March 2017 / Revised: 6 June 2017 / Accepted: 9 June 2017 / Published: 16 June 2017
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [33352 KB, uploaded 16 June 2017]   |  


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. View Full-Text
Keywords: UAV; data mining; computer vision; geomatics; agave monitoring UAV; data mining; computer vision; geomatics; agave monitoring

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Calvario, G.; Sierra, B.; Alarcón, T.E.; Hernandez, C.; Dalmau, O. A Multi-Disciplinary Approach to Remote Sensing through Low-Cost UAVs. Sensors 2017, 17, 1411.

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