The core objective of crop yield estimation is to achieve higher agricultural crop production and many established models are exploited to increase the yield of crop production. Nowadays, ML is being used worldwide due to its efficiency in various sectors such as forecasting, fault detection, pattern recognition, etc. The ML algorithms also help to improve the crop yield production rate when there is a loss in unfavorable conditions. The ML algorithms are applied for the crop selection method to reduce the losses crop yield production irrespective of distracting environment. In India, we all know that Agriculture is the backbone of the country. This paper predicts the yield of almost all kinds of crops that are planted in India. Random Forest Regression is a supervised learning algorithm that uses ensemble learning method for regression. A Random Forest operates by constructing several decision trees during training time and outputting the mean of the classes as the prediction of all the trees. Visual Remote Sensing System such as human visual system. The Sensors are now used by farmers and agronomists to help them improve their operations. As a same time Odor Detection Using an E-Nose With a Reduced Sensor.