A Review on Decision Support System in Smart Farming

Abstract

The new smart era is based on science and technology that has changed the way of industrial operation. The traditional way of managing the heavy task and decision-making capabilities which mostly rely on the man-power system is now transforming with the advancement of computer and IoT technology in various domains. Day by day the new inventions are carried in the agriculture sector. A new way of farming with the implementation of technology is increasing crop production, monitoring, and irrigation techniques. This increase in crop production with limited farmland is playing a vital role in the needs of the growing population. To achieve this the decision support system can be integrated with the IoT which will give precise decisions of crop production based on the agriculture site. This article focuses on an IoT Based Smart Farming using Decision Support System project for crop prediction and management. The soil sensors based on soil samples provide the data regarding soil moisture, PH value, temperature, and humidity. These data are feed as input to the system via GSM/GPRS module and provide output as predicted crop after the analysis. All the data are stored on the server and can be managed by the user interface as a webpage. This research work will give farmers a new decision making for their farm based on real-time data which surely can reduce their efforts and economic crises..