WB-CPI: Weather Based Crop Prediction in India Using Big Data Analytics

This paper aims at collecting and analysing temperature, rainfall, soil, seed, crop production, humidity wind speed data (in a few regions), which will help the farmers improve produce of their crops. Firstly, we pre-process in Python environment then apply MapReduce framework, further analyses processes large volume data. Secondly, k-means clustering is employed on results gained from provides mean result terms accuracy. After that use bar graphs scatter plots to study relationship between crop, soil seed type two regions (Ahmednagar, Maharashtra and, Andaman Nicobar Islands). Further, self-designed recommender system has been used predict crops display them Graphic User Interface designed Flask environment. The design scalable can be find recommended other states similar manner future.