In fast developing economies like India, there is fast depletion of agricultural lands and many people migrate to cities leaving agriculture. In these conditions effective yield prediction of crops is a must for planning food policies and securing food for the people. Import only at time of huge price rise is not a solution and predictive import of crops based on yield predicted is a way to keep food inflation under control. Towards this end, an Ensemble model for prediction of yield of India Rabbi Crops is proposed in this work. An Ensemble machine learning model is built based on past histories and macro climatic and monsoon conditions to forecast the yield for crops in work.