An IoT Assisted Fog Enabled Framework for Smart Green House

Abstract

The Internet of Things (IoT) has transformed smart agriculture by increasing efficiency and lowering production costs in addition to boosting productivity and optimizing resource use. This article outlines the future of automation and emphasizes the possibilities of sensors and IoT in the field of greenhouse farming. Through a variety of sensors, the various parameters like humidity, pH and EC value, temperature, UV light intensity, and CO2 level are tracked in order to provide valuable insight into early fault detection and diagnosis. A growing computing technique to enhance and support cloud computing is called fog computing. Fog computing platforms include a number of features that enable delivery services to users more quickly and improve the Quality of Service (QoS) of IoT devices, such as being close to edge users, being an open platform, and supporting mobility. As a result, it is turning into a crucial strategy for user-centered IoT-based applications. The core operating system that directs and oversees all of the operations is a Decision Support System (DSS) in the Fog layer described in this article. The paper also discusses the various difficulties associated with greenhouse farming and spotlights a novel, smart, and sustainable IoT-Fog solution. This article's model is highly suited to the changing environment, redefining sustainability in the process.