Internet of Things and Fuzzy logic based hybrid approach for the Prediction of Smart Farming System

Intelligent connectivity plays a vital role in improving the crop irrigation, crop yield, and crop quality as well as enhanced crop monitoring, weather prediction, and animal care. In this paper, Fuzzy logic and the Internet of Things (IoT) are integrated to improve the accuracy and power consumption of the farming system. Fuzzy rules are applied to control valve of motor for water irrigation. Firebase real time database is also employed to monitor the field remotely through the Internet. Moreover, XGboost is applied to predict the condition of farming. The results demonstrate that our proposed system is better in terms of accuracy, power consumption, error rate as compared to the conventional farming system.