Survey of Estimation of Crop Yield Using Agriculture Data

Data mining techniques are increasingly being used in finding useful pattern from large data sets. Huge amount of data is being produced day by day from various sources and are stored in data sets .half of the people in India depends on agriculture for their maintenance .Data mining plays a major role in estimation of crop production depending upon the various data sets such as soil verify, rainfall, humidity, temperature, cities etc. This paper focuses on analysing agriculture data, pre-processing the data to remove the noise and find the optimal parameter to increase the crop yield which is more accurate and optimal. This paper also makes an effort to understand the different complications to eliminate the noise from the initial dataset, know the problems of various algorithms used in earlier approaches.