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

Author

Listed:
  • Javier Rodríguez-Robles

    (Electrical and Computer Engineering Department, National Distance Education University (UNED), 28040 Madrid, Spain)

  • Álvaro Martin

    (Electrical and Computer Engineering Department, National Distance Education University (UNED), 28040 Madrid, Spain)

  • Sergio Martin

    (Electrical and Computer Engineering Department, National Distance Education University (UNED), 28040 Madrid, Spain)

  • José A. Ruipérez-Valiente

    (Teaching Systems Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA)

  • Manuel Castro

    (Electrical and Computer Engineering Department, National Distance Education University (UNED), 28040 Madrid, Spain)

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.

Suggested Citation

  • Javier Rodríguez-Robles & Álvaro Martin & Sergio Martin & José A. Ruipérez-Valiente & Manuel Castro, 2020. "Autonomous Sensor Network for Rural Agriculture Environments, Low Cost, and Energy Self-Charge," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:5913-:d:388322
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    References listed on IDEAS

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    1. Alexandros Zervopoulos & Athanasios Tsipis & Aikaterini Georgia Alvanou & Konstantinos Bezas & Asterios Papamichail & Spiridon Vergis & Andreana Stylidou & Georgios Tsoumanis & Vasileios Komianos & Ge, 2020. "Wireless Sensor Network Synchronization for Precision Agriculture Applications," Agriculture, MDPI, vol. 10(3), pages 1-20, March.
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    Cited by:

    1. Rafael Cardona Huerta & Fernando Moreu & Jose Antonio Lozano Galant, 2021. "Aerial Tramway Sustainable Monitoring with an Outdoor Low-Cost Efficient Wireless Intelligent Sensor," Sustainability, MDPI, vol. 13(11), pages 1-17, June.
    2. Awais Ali & Tajamul Hussain & Noramon Tantashutikun & Nurda Hussain & Giacomo Cocetta, 2023. "Application of Smart Techniques, Internet of Things and Data Mining for Resource Use Efficient and Sustainable Crop Production," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    3. Vignon Fidele Adanvo & Samuel Mafra & Samuel Montejo-Sánchez & Evelio M. García Fernández & Richard Demo Souza, 2022. "Buffer-Aided Relaying Strategies for Two-Way Wireless Networks," Sustainability, MDPI, vol. 14(21), pages 1-29, October.
    4. Kazeem B. Adedeji & Yskandar Hamam, 2020. "Cyber-Physical Systems for Water Supply Network Management: Basics, Challenges, and Roadmap," Sustainability, MDPI, vol. 12(22), pages 1-30, November.

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