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.               

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