Next Article in Journal
Illegal Use of Loading Bays and Its Impact on the Use of Public Space
Next Article in Special Issue
Using Visualization to Build Transparency in a Healthcare Blockchain Application
Previous Article in Journal
Emotional Development in People with High Capacities: Induction of Emotions through Pictorial Abstraction
Previous Article in Special Issue
Smart City Crime Prevention Services: The Incheon Free Economic Zone Case
Article

Autonomous Sensor Network for Rural Agriculture Environments, Low Cost, and Energy Self-Charge

1
Electrical and Computer Engineering Department, National Distance Education University (UNED), 28040 Madrid, Spain
2
Teaching Systems Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(15), 5913; https://doi.org/10.3390/su12155913
Received: 9 May 2020 / Revised: 16 July 2020 / Accepted: 20 July 2020 / Published: 23 July 2020
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. View Full-Text
Keywords: agricultural automation; Arduino; energy efficiency; Internet of Things (IoT); low cost; precision agriculture; sensors; Wireless Sensor Network (WSN); ZigBee agricultural automation; Arduino; energy efficiency; Internet of Things (IoT); low cost; precision agriculture; sensors; Wireless Sensor Network (WSN); ZigBee
Show Figures

Figure 1

MDPI and ACS Style

Rodríguez-Robles, J.; Martin, Á.; Martin, S.; Ruipérez-Valiente, J.A.; Castro, M. Autonomous Sensor Network for Rural Agriculture Environments, Low Cost, and Energy Self-Charge. Sustainability 2020, 12, 5913. https://doi.org/10.3390/su12155913

AMA Style

Rodríguez-Robles J, Martin Á, Martin S, Ruipérez-Valiente JA, Castro M. Autonomous Sensor Network for Rural Agriculture Environments, Low Cost, and Energy Self-Charge. Sustainability. 2020; 12(15):5913. https://doi.org/10.3390/su12155913

Chicago/Turabian Style

Rodríguez-Robles, Javier, Álvaro Martin, Sergio Martin, José A. Ruipérez-Valiente, and Manuel Castro. 2020. "Autonomous Sensor Network for Rural Agriculture Environments, Low Cost, and Energy Self-Charge" Sustainability 12, no. 15: 5913. https://doi.org/10.3390/su12155913

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop