Autonomous sensor network for rural agriculture environments, low cost, and energy self-charge
Name
sustainability-12-05913.pdf
Size
2.58 MB
Format
Adobe PDF
Checksum (MD5)
bd338ad48f2045505f8adce804d3c5c4
Author(s)
Rodríguez-Robles, Javier
Martin, Álvaro
Martin, Sergio
Ruipérez-Valiente, José A.
Castro, Manuel
Date Issued
July 2020
Journal
Sustainability
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Rodríguez-Robles, Javier et al. "Autonomous sensor network for rural agriculture environments, low cost, and energy self-charge." Sustainability 12, 15 (July 2020): 5913 ©2020 Author(s)
Version
Final published version
Abstract
Over the last years, existing technologies have been applied to agricultural environments, resulting in new precision agriculture systems. Some of the multiple profits of developing new agricultural technologies and applications include the cost reduction around the building and deployment of them, together with more energy-efficient consumption. Therefore, agricultural precision systems focus on developing better, easier, cheaper, and overall more efficient ways of handling agricultural monitoring and actuation. To achieve this vision, we use a set of technologies such as Wireless Sensor Networks, Sensors devices, Internet of Things, or data analysis. More specifically, in this study, we proposed a combination of all these technologies to design and develop a prototype of a precision agriculture system for medium and small agriculture plantations that highlights two major advantages: efficient energy management with self-charging capabilities and a low-cost policy. For the development of the project, several prototype nodes were built and deployed within a sensor network connected to the cloud as a self-powered system. The final target of this system is, therefore, to gather environment data, analyze it, and actuate by activating the watering installation. An analysis of the exposed agriculture monitoring system, in addition to results, is exposed in the paper.
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/su12155913
