A mission planning approach for precision farming systems based on multi-objective optimization

Zhai, Zhaoyu and Martínez Ortega, José Fernán and Lucas Martínez, Néstor and Rodríguez Molina, Jesús (2018). A mission planning approach for precision farming systems based on multi-objective optimization. "Sensors", v. 18 (n. 1795); pp. 1-32. ISSN 1424-8220. https://doi.org/10.3390/s18061795.

Description

Title: A mission planning approach for precision farming systems based on multi-objective optimization
Author/s:
  • Zhai, Zhaoyu
  • Martínez Ortega, José Fernán
  • Lucas Martínez, Néstor
  • Rodríguez Molina, Jesús
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 2 June 2018
ISSN: 1424-8220
Volume: 18
Subjects:
Freetext Keywords: precision farming system; multi-agent system; agent coalition; multi-objective optimization; mission planning approach
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Telemática y Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

As the demand for food grows continuously, intelligent agriculture has drawn much attention due to its capability of producing great quantities of food efficiently. The main purpose of intelligent agriculture is planning agricultural missions properly and use limited resources reasonably with minor human intervention. This paper proposes a Precision Farming System (PFS) as a multi-agent system. Agricultural machines are treated as agents with different functionalities. These agents could form several agent coalitions to complete the complex agricultural missions cooperatively. In PFS, mission planning should consider several criteria, like expected benefit, energy consumption or equipment loss. Hence, mission planning could be treated as a Multi-objective Optimization Problem (MOP). In order to solve MOP, an improved algorithm, MP-PSOGA, is proposed, taking advantage of genetic algorithms and particle swarm optimization. A simulation, called precise pesticide spraying mission, is performed to verify the feasibility of the proposed approach. Simulation results illustrate that the proposed approach works properly. This approach enables the precision farming system to plan missions and allocate scarce resources efficiently. The theoretical analysis and simulation is a good foundation for the future study. Once the mission planning approach is applied to a real scenario, it is expected to bring significant economic improvement.

Funding Projects

TypeCodeAcronymLeaderTitle
Horizon 2020662107SWARMsUNIVERSIDAD POLITECNICA DE MADRIDSmart and Networking UnderWAter Robots in Cooperation Meshes
Government of SpainPCIN-2014-022-C02-02UnspecifiedUnspecifiedUnspecified

More information

Item ID: 63564
DC Identifier: http://oa.upm.es/63564/
OAI Identifier: oai:oa.upm.es:63564
DOI: 10.3390/s18061795
Official URL: https://www.mdpi.com/1424-8220/18/6/1795
Deposited by: Memoria Investigacion
Deposited on: 26 Sep 2020 09:48
Last Modified: 26 Sep 2020 09:48
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