Big Data Analytics on Indian Crop Planning to Increase Agricultural Production

Abstract

Abstract. To find a hidden pattern in crop sales by applying data clustering on it. By using time or crop type as the clustering factor, to predict the schedule of crop sowing/planting or decide which crop should be sown/planted in the season. If the pattern of such crops are already known, one can set the plan, when to harvest the product, how much the price and how many. To show results, data clustering will be used to analyze the data pattern, crop pattern and crop sales pattern. Besides, it predicts the price of crops in further years or a season which helps farmers to adopt the crop cultivation plan. This paper emphasizes the use of Big Data (BD) which helps the farmers will upgrade the worth of their products via less pesticides to be focused.