Hidroponik hasıl sistemlerinin IoT destekli akıllı uzaktan izlenmesi

In this thesis, a circuit with sensors was designed to enable real-time monitoring of an artificial climate-controlled fodder system used for feeding small and large livestock with fresh fodder throughout the year, accessible from any location via the internet. The real-time environmental data collected by the designed circuit and sensors is transmitted to a server prepared using open-source operating systems and applications. The central unit of this system is an ESP32 development board connected to temperature, humidity, and light sensors. The real-time data collected by these sensors is encrypted and transmitted using the MQTT protocol over the university's existing wireless network (eduroam) or a 4G mobile network to the MQTT broker application, Mosquitto. The data collected in this application is transferred to the relevant buckets defined in the InfluxDB time-series database running on the same server. The environmental data gathered in these buckets can be monitored in real time or within a specified date range by authorized users through an interface prepared with Node-RED flows. Additionally, the web interface, which is compatible with mobile devices, is configured directly as an MQTT client to enable real-time viewing of sensor values. Furthermore, alarms and notifications are sent to designated users when values exceed predefined thresholds. To visualize the collected data, graphs created with Grafana are presented to users. As a result of the study, the established monitoring system minimizes human labor and ensures precise control of environmental factors such as humidity and temperature, which directly affect the starch hydrolysis process that facilitates the digestion of grains.