EXEHDA-SF: an IoT Based Proposal for the Irrigation Management

Abstract

According to the National Water Agency (ANA), approximately 46.2% of all clean water used in Brazil is destined for irrigation, which has been motivating the evaluation of alternatives for water supply agricultural crops. Considering this scenario, this article presents the EXEHDA-SF proposal, which aims to explore Situation Awareness in the decision making process, with the perspective of minimizing socioenvironmental impacts. For evaluation of EXEHDA-SF a prototype was developed that integrates open-source IoT technologies to the EXEHDA middleware and explores a weather prediction service. The results achieved were promising, reaching a success rate of approximately 94% regarding the irrigation decision.