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Big Data Analytics based Smart Agriculture

One of the major problem world facing today is feeding the growing population day by day in this badly affected environment. To tackle the increasing challenges in agriculture and analyze the crop sales production which vary from place to place, a modern digital solution is required. Big data analytics promises an effective solution since data related to agriculture is growing computationally. We identify hidden correlations and other essential data from distributed dataset by applying data clustering and by using crop in demand as the clustering factor We consider the CROPSALES dataset. The dataset consists data related to state wise crop production and their sales. This project emphasizes the usage of big data analytics that enables the farmers to make best decision while crop cultivation.