Designing an Automated Smart Green House and Controlling Based on IOT-Enabled Intelligent Decision Support System

In the agricultural field, optimization of land area and manpower is the challenging task of all farmers. The cost and time to spend for creating the farming with all necessary natural resources are not done properly due to their lacking knowledge and communication in the agriculture field. Problem Statement: Most of the farmers are followed the traditional agricultural methods to do crop cultivation and only a few of them are using the latest techniques. IoT is the framework used to provide automated control over agricultural land and monitoring using sensors on the plants. Perhaps, sensors are generated whole plant data then sent to the centralized controller for analytics to make decision making by the farmers. It takes a long time while plant growth is affected in the case of short-term plant cultivation. Methodology: To overcome this issue Smart Green House concept is introduced in the agriculture field for the improvement of plant growth within a stipulated time. It is possible to enhance the quality of the system with an IoT-enabled framework and controlled by a Smart Green House Intelligence Decision Support System (SGHIDSS). The system is working with several sensors placed on a greenhouse in various places and takes the decisions of actions like water supply, nutrition level automatically. All the sensors and control systems are working in an automated environment which leads the greenhouse technique to get successful for small farmers. Findings: This research work provides the framework or model for small-scale farmers and individuals to implement the smart greenhouse in their areas easily. Also, it provides less manpower and a small amount of natural resources for developing agriculture.