Agriculture is one of the main sectors that have huge impact on India`s economy. India is highly populated country and it’s essential to increase the food production in order to feed the growing population. Due to the uncertainty in weather like excess rain, drought etc., farmers unable to envisage the crop yield. This makes heavy loss for the farmers and it increases the rate of suicide done by farmers in India. The research work deals with the envisaging of crop yield, by using a machine learning approach, namely a powerful optimized neural network model to increase their effectiveness. In this present study a software application tool named ‘AGRIASTRO’ has been developed as a user friendly and  interactive in predicting the crop yields for the selected session, selected crops in the districts of Tamil Nadu. This tool uses the crop prediction methodology in envisaging the crop yield to maximize the profit and minimize the loss.

KEYWORDS : Agriculture, Crop Yield, Machine Learning, Neural Network, Prediction