Agricultural crop predictor and advisor using ANN for smartphones

Agriculture is one of the most important stream based on which a country's economy is decided. But unfortunately today we see that the sector of agriculture is gradually coming down due to various factors. One of the drastic factor is that the “Crop Loss”. In many cases the crop loss is due to the illiteracy of the farmers. Hence to resolve this problem, a system has been proposed which guides the farmers to understand the status of the land and to make them aware of the crops that could benefit them. This proposed system uses the Artificial Neural Network, which is one of the most effective tool in modeling and prediction. There are various parameters that decide the crop productivity. Hence these parameters are considered as the input for the proposed system and based on the manipulation with these inputs, the desired output must be produced. The parameters include pH, phosphate, potassium, nitrogen, depth, temperature, rainfall. Also the proposed system suggests some fertilizers that could improve the productivity. Since the system developed should be portable and easy to be used by a common man, the system is developed as an Android Application, which could be installed in a Smart Phone and could be easily checked out. The overall accuracy of the proposed prediction system is 90%.