Agriculture plays one of the major roles in the occupation of India and machine learning is a growing field in agricultural analysis. Choosing a particular crop is an extremely important issue during agriculture. Any farmer is curious about getting the recommendation of the crop he should grow. The common problem existing among Indian farmers is they don’t choose right crop supported their soil requirements. Because of this they face big set back in productivity and leads to a loss in income. Also monitoring weather is a crucial part of precision agriculture. A farmer cant fight with the weather. However, he can accept the given situation and take additional farm management practices to attenuate crop losses and take precautions beforehand. Therefore accurate information regarding weather is vital in order that farm activities are often planned without adverse events. Being conscious of real-time weather is best thanks to protecting crops and a secure high and healthy yield. In this paper, this problem is solved by proposing a crop recommendation system using a Machine learning algorithm and getting real-time data of weather using wireless sensors in one system will be really beneficial for the farmers.