Precision Agriculture without borders: Practical issues and improvements in farmland coverage with aerial vehicles.

Pereira Valente, Joao Ricardo, Barrientos Cruz, Antonio ORCID: https://orcid.org/0000-0003-1691-3907, Cerro Giner, Jaime del ORCID: https://orcid.org/0000-0003-4893-2571, Sanz Muñoz, David, Garzón Oviedo, Mario Andrei ORCID: https://orcid.org/0000-0001-6672-4827 and Rossi, Claudio ORCID: https://orcid.org/0000-0002-8740-2453 (2011). Precision Agriculture without borders: Practical issues and improvements in farmland coverage with aerial vehicles.. In: "Research, Development and Education on Unmanned Aerial Systems, RED-UAS 2011", 30/11/2011 - 01/12/2011, Sevilla, España. pp. 10-18.

Description

Title: Precision Agriculture without borders: Practical issues and improvements in farmland coverage with aerial vehicles.
Author/s:
Item Type: Presentation at Congress or Conference (Article)
Event Title: Research, Development and Education on Unmanned Aerial Systems, RED-UAS 2011
Event Dates: 30/11/2011 - 01/12/2011
Event Location: Sevilla, España
Title of Book: Proceedings of the Research, Development and Education on Unmanned Aerial Systems, RED-UAS 2011
Date: 2011
Subjects:
Freetext Keywords: Coverage Path Planning, Precision Agriculture, Remote Sensing
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This work presents a solution for the aerial coverage of a field by using a fleet of aerial vehicles. The use of Unmanned Aerial Vehicles allows to obtain high resolution mosaics to be used in Precision Agriculture techniques. This report is focus on providing a solution for the full simultaneous coverage problem taking into account restrictions as the required spatial resolution and overlap while maintaining similar light conditions and safety operation of the drones. Results obtained from real field tests are finally reported

More information

Item ID: 12637
DC Identifier: https://oa.upm.es/12637/
OAI Identifier: oai:oa.upm.es:12637
Official URL: http://www.red-uas.com/
Deposited by: Memoria Investigacion
Deposited on: 01 Aug 2012 11:27
Last Modified: 18 Aug 2017 10:39
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