Solar PV fed brushless drive with optical encoder for agriculture applications using IoT and FPGA

In modern agriculture, IoT is playing a vital part in monitoring and controlling the parameters that has been influenced the growth of the plants. The proposed Hydroponics is sourced by the Solar PV System. It is coupled with the Brushless DC Motor Drive with optical encoder to fulfill the requirement of water in Hydroponics through DC to DC Converter and Inverter that drives water pump. An analytical tool which is executed to visualize and investigate the live field data through IoT platform has been implemented in this paper. Raspberry Pi controller can act as an interface as well as a bi-directional communication between FPGA and cloud to monitor and control process. To validate the proposed system, an experimental setup is implemented. Perovskite Based Solar PV array of 1.5 KW supplies to a Hydroponics network for growing greens plants through deep water culture method. For the effective growth of plant, distinct parameters such as humidity, water level, pH level, temperature and nutrition amount of the hydroponics field are monitored through IoT. Raspberry Pi 3 B+ controller sends the data to the web server which can be adopted for data visualization. Experimental results are proved the effectiveness of monitoring and controlling system.