A Mission Planning Approach for Precision Farming Systems Based on Multi-Objective Optimization
Open Access
- 2 June 2018
- Vol. 18 (6), 1795
- https://doi.org/10.3390/s18061795
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 to plan 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 (MAS). Components of PFS are treated as agents with different functionalities. These agents could form several 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 advantages of the 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 PFS to plan missions and allocate scarce resources efficiently. The theoretical analysis and simulation is a good foundation for the future study. Once the proposed approach is applied to a real scenario, it is expected to bring significant economic improvement.Keywords
This publication has 49 references indexed in Scilit:
- A decision support system based on multisensor data fusion for sustainable greenhouse managementJournal of Cleaner Production, 2018
- Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and ForestryRemote Sensing, 2017
- Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A ReviewSensors, 2017
- A Computational Tool for Comparative Energy Cost Analysis of Multiple-Crop Production SystemsEnergies, 2017
- Agricultural robots for field operations. Part 2: Operations and systemsBiosystems Engineering, 2017
- Agricultural robots for field operations: Concepts and componentsBiosystems Engineering, 2016
- A decision support system for managing irrigation in agricultureComputers and Electronics in Agriculture, 2016
- Assessing Herbivore Foraging Behavior with GPS Collars in a Semiarid GrasslandSensors, 2013
- SMARTVINEYARD: AN OPEN SOURCE WEB-GIS APPLICATION FOR PRECISION VITICULTUREActa Horticulturae, 2013
- Vehicle Based Laser Range Finding in CropsSensors, 2009