An efficient algorithm for predicting crop using historical data and pattern matching technique

As agriculture seems to be a crucial part in food security as well as economic development of a country, selecting crops for cultivation is a most important aspect in an agricultural planning. It relies on variety of parameters which includes weather condition, soil property and government policies. The suggested system helps the farmers to select suitable crop based on season and region of sowing. It will in-turn help the farmers by improving the net profit to them. By considering different datasets with respect to five parameters such as rainfall, temperature, slope, humidity and soil moisture of horticulture data, the system builds a model or method using which can suggest list of crops which is mainly helpful for the farmers in his/her decision making.