ABSTRACT
In this paper, design of a novel Internet of Things (IoT) based agriculture automation using machine learning (ML) is implemented. The major source of economy in this country is agriculture. To get better production, there should be an improvement in the technologies of IoT and ML. Because of this, there is an improvement in demand of population growth. In this, agriculture parameters are analyzed using humidity sensor, temperature sensor, and soil moisture sensor. The collected data will be sent to the web server using IoT. Machine learning algorithm will be applied for this data. Now, water motor will be on and water sprinkler will sprinkle the water and GSM message will be send to the corresponding member. At last, output is 150obtained. From the results, we can observe that the accuracy of the system is improved very effectively.
