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Sensors 2017, 17(8), 1775; doi:10.3390/s17081775

Combining Multi-Agent Systems and Wireless Sensor Networks for Monitoring Crop Irrigation

Faculty of Science, University of Salamanca, Plaza de la Merced s/n, 37002 Salamanca, Spain
Department of Artificial Intelligence, Universidad Politécnica de Madrid, Campus Montegancedo s/n, Boadilla del Monte, 28660 Madrid, Spain
Author to whom correspondence should be addressed.
Received: 10 July 2017 / Revised: 28 July 2017 / Accepted: 31 July 2017 / Published: 2 August 2017
(This article belongs to the Special Issue Sensors in Agriculture)


Monitoring mechanisms that ensure efficient crop growth are essential on many farms, especially in certain areas of the planet where water is scarce. Most farmers must assume the high cost of the required equipment in order to be able to streamline natural resources on their farms. Considering that many farmers cannot afford to install this equipment, it is necessary to look for more effective solutions that would be cheaper to implement. The objective of this study is to build virtual organizations of agents that can communicate between each other while monitoring crops. A low cost sensor architecture allows farmers to monitor and optimize the growth of their crops by streamlining the amount of resources the crops need at every moment. Since the hardware has limited processing and communication capabilities, our approach uses the PANGEA architecture to overcome this limitation. Specifically, we will design a system that is capable of collecting heterogeneous information from its environment, using sensors for temperature, solar radiation, humidity, pH, moisture and wind. A major outcome of our approach is that our solution is able to merge heterogeneous data from sensors and produce a response adapted to the context. In order to validate the proposed system, we present a case study in which farmers are provided with a tool that allows us to monitor the condition of crops on a TV screen using a low cost device. View Full-Text
Keywords: ambient intelligence; wireless sensor; fuzzy logic; smart irrigation; virtual organizations of agents ambient intelligence; wireless sensor; fuzzy logic; smart irrigation; virtual organizations of agents

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Villarrubia, G.; Paz, J.F.D.; Iglesia, D.H.D.L.; Bajo, J. Combining Multi-Agent Systems and Wireless Sensor Networks for Monitoring Crop Irrigation. Sensors 2017, 17, 1775.

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