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As much as agriculture has been the mainstay of the Indian economy, where it has been instrumental in sustaining livelihoods of millions of citizens as well as providing food security to the nation, agriculture is also susceptible to the numerous challenges of antiqueness and inefficiency of the production processes and also the poor utilization of the available natural resources. The majority of farmers continue to make these crop selection decisions due to some gut feelings or antiquity that leads to low yields, soil erosion and underutilisation of essential inputs such as water and fertilisers. Precision farming is the solution to this problem that is made possible by modern technologies which allow the application based on the characteristics of the soil, climatic and historical yield data, to prescribe the most appropriate crops to grow in a particular piece of land. The proposed Intelligent Crop Recommendation System employs advanced machine learning algorithms to execute the analysis of such factors and generate precise crop recommendations on the basis of data. Fault - tolerant and Reliable: Actionable and trustworthy recommendations are provided to the farmers because with the help of ensemble and model cross-validation methods, the model output is made more accurate and reliable. This is not only assisting in avoiding the same crops being planted over the years, but also bringing in the sustainable approach to managing the fertilizers and soil resources to ensure a long term health of the soil.