The SWAMP Farmer App for IoT-based Smart Water Status Monitoring and Irrigation Control
Ramide Dantas, Milton Vasconcelos da Gama Neto, Ivan Zyrianoff, Carlos Kamienski
Abstract
Smart agriculture requires new hardware and software solutions in order to achieve its goals of improved productivity. The SWAMP project develops a platform for smart water management using IoT, cloud and fog computing, and machine learning, among other technologies. This paper presents the SWAMP Farmer App for water status monitoring and irrigation control. The app improves farmer's situation awareness regarding water status by showing current and past moisture data from the fields, including map and charts views. The app also includes irrigation planning and drone capabilities.
Topics & Concepts
SwampCloud computingIrrigationComputer scienceInternet of ThingsAgricultureSoftwareControl (management)Agricultural engineeringEnvironmental scienceEmbedded systemArtificial intelligenceEngineeringGeographyOperating systemArchaeologyEcologyBiologySmart Agriculture and AIWater Quality Monitoring TechnologiesIoT and Edge/Fog Computing