A survey on application of data mining techniques to analyze the soil for agricultural purpose
India has 60.6% of its total area for agricultural purpose. Agricultural sector is the backbone for developing countries like India. The contribution of agricultural sector to GDP is 17% By improving the agricultural sector the GDP of the nation could also be improved. The digital era can render its support to the agricultural sector in wide variety of ways. Data Mining supports decision making process and prediction. Agriculture needs the decision support system in variety of ways such as type of crop to be cultivated. And prediction techniques for rainfall prediction, weather prediction, market price prediction etc. There were many researches going on to support the agriculture using data mining. Analyzing soil provides major contribution to the support of the farmers. This paper explores various proposed algorithms for analyzing soil using data mining techniques.
2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom)