In recent years, agriculture has become increasingly data-driven and data-enabled due to the use of different technologies such as greenhouse and aquaculture technologies. With the development of agriculture, new technology is required, and the focus is facing towards the smartest technological investment. The increasing demand for the quality and the quantity in the food sector raised the need to intensify and industrialize the agriculture sector. The current work provides empirical measurement results from an Internet of Things (IoT) platform based on remote telemetry applications for agriculture. This paper aims to demonstrate how the processing of Big Data and the concept of decentralized cloud operation can answer the demands of IoT applications in agriculture and how smart farming will help farmers operate more efficiently and more secured. The architecture is based on ADCON Remote Telemetry Units (RTUs), Software as a Service (SaaS), a Platform as a Service (PaaS) represented by Grafana and influxDB database.