Agricultural data fusion for smartagro telemetry system

Abstract

Smart agriculture concept uses innovative solutions including IoT and Cloud storage features, dedicated sensors for monitoring basic agricultural parameters, new communications protocols, etc. SmartAgro architecture comprises a telemetry system for Key Performance Indicators (KPIs) such as air & soil temperature, air & soil relative humidity, leaf wetness, etc. The current paper outlines the reliability of the implemented system by comparing and analyzing data collected in spring 2019 and spring 2020. The relevance of this season consists in great air variations due to the transition from winter to summer. Being monitored in a vine area near Bucharest, these data may be useful for different statistics related to grapes culture in this season and can be used by interested parties for future predictions related to vine crops. Moreover, in this paper, data fusion will allow advanced data management and coherence achievement among collected data.