Implementation of Artificial Intelligence based Predictive Analysis of Data for Smart Farming in Sultanate of Oman

The application of Artificial Intelligence in smart farming have increased applications and various types of tools which help farmers with relevant data regarding efficient use of water, plantation of crops, opt time for harvesting of plants. Our research paper provides enhanced way for implementation of AI based predictive analysis of data for smart farming. The implementation is done by machine learning by taking into consideration wide range of sensor values for a period of one year. Python is used as the base for this predictive analysis. The effective implementation of this project can avoid soil degradation, wastage of water and other resources. Sensor values like temperature, humidity water level, renewable solar energy status etc. are used for analysis of data, so that AI is trained for accuracy.