IoT-Fog Integrated Voice of the Plant Based Smart Irrigation and Power Management System for Smart Farming

Abstract

Human survival on Earth will be solely dependent on agricultural products from the past to the present and also in the future. With the integration of IoT-Fog based technologies in agricultural applications, we can make better use of the fundamental and vital resources of water and power. This method enables a better approach to agriculture by focusing these two valuable resources using a variety of sensor-based agricultural practises (SBAP) to monitor characteristics like as moisture, humidity, on-field water level, temperature, and so on. This proposed model has a 360-degree reflector system, which is critical in increasing the light source or adjusting the temperature as needed by the plant during peak hours. It is proposed to develop a unique IoT-Fog-based automated agriculture monitoring system. Using Arduino and several on-field monitoring sensors, this architecture is emulated as a prototype model. This prototype model incorporates machine learning to give a crop-based decision-making mechanism. This system is equipped with a clever changeover mechanism that switches over to the renewable power resource when it is sufficiently available, allowing it to be used as a source of energy. This approach also recommends the use of a ground-level water top-up device to raise the water table during floods and wet seasons.