Internet of Things (IoT) and Machine Learning based Optimized Smart Irrigation System

Farmers are using traditional techniques for cultivating their land, which is not suitable for the climatic conditions in the present situation. There is a rapid change in the climate, which is unpredictable. Due to rapid climatic changes, many crops go in vain. Temperature, Humidity, and Moisture play a vital role in farming. Our main objective is to optimize the production of the crop. Optimized results can be achieved through Machine Learning. Temperature, Humidity, and Moisture values are obtained through the Internet of Things (IoT) sensors. Data is sent to the cloud in real time. Stacking is used to produce the optimized model. The model sends the alert to the farmer indicating the required water level for an existing crop. It can also examine the soil results and predicts the optimal crop for maximum production.