Internet of Things Application in an Automated Irrigation Prototype Powered by Photovoltaic Energy

Rafael C. Borges, Carlos H. Beuter, Vitória C. Dourado and Murilo E. C. Bento ()
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Rafael C. Borges: Department of Agricultural and Environmental Engineering, Federal University of Rondonópolis, Rondonópolis 78736-900, Brazil
Carlos H. Beuter: Department of Mechanical Engineering, Federal University of Rondonópolis, Rondonópolis 78736-900, Brazil
Vitória C. Dourado: Department of Agricultural and Environmental Engineering, Federal University of Rondonópolis, Rondonópolis 78736-900, Brazil
Murilo E. C. Bento: Department of Electrical Engineering, Federal University of Rio de Janeiro, Rio de Janeiro 21941-909, Brazil

Energies, 2024, vol. 17, issue 9, 1-18

Abstract: Small-scale agriculture is important. However, there are still limitations regarding the implementation of technologies in small-scale agriculture due to the high costs accompanying them. Therefore, it is essential to seek viable and low-cost solutions since the insertion of technologies in agriculture, especially irrigated agriculture, guarantees the sustainable expansion of production capacity. The present work applied the Internet of Things concept to an automated irrigation system powered by photovoltaic panels. The materials used in the prototype consisted of Arduino Uno R3, the ESP8266 development board, a soil moisture sensor, a current sensor, a voltage sensor, a flow sensor, and a humidity and temperature sensor. The prototype was designed to take system readings and send them to the Adafruit platform IO. Furthermore, it was programmed to perform remote irrigation control, enabling this to be activated from distant points through the platform. The medium proved efficient for the monitoring and remote control of the system. This indicates that it is possible to use this medium in small automated irrigation systems.

Keywords: adafruit IO; automation; IoT; irrigation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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