IoT Solution for Plant Monitoring in Smart Agriculture

Abstract

Internet of Things (IoT) current solutions involving Cloud Computing facilities in the agricultural domain can provide different information on diseases and plant development during the phonological cycle. These solutions are needed to monitor drought, plant diseases, and plant growth and to enable the possibility to discover personalized solutions depending on the monitored parameters. This paper aims to illustrate how, using an IoT ADCON-based station for plant monitoring (grapevine), important sensor-collected data can be extracted and interpreted (e.g. variation of leaf wetness, soil and air humidity, air and soil temperature). Based on these values automatic or human decisions can be made in order to improve productivity in terms of grapes quality. The main advantages of the presented solution consist of solar panel supply and data reliability ensuring thus a power-efficient and productive agricultural process.