Published Paper Details:

Agriculture is one of the vital and the least paid occupation in India. Deep learning can bring a boom in the agriculture field by changing the income scenario through growing the optimum crop.Thispaperfocusesonpredictingthe yieldof thecropbyapplyingvariousmachinelearning techniques.Theoutcomeofthesetechniquesiscomparedonthebasisofmeanabsoluteerror.The prediction made by machine learning algorithms will help the farmers to decide which crop to grow to get the maximum yield by considering factors like temperature, rainfall, area, Nitrogen, potassium, phosphorous etc.A central challenge is yield estimation, which is to predict crop yields before harvesting. We introduce a scalable, accurate, and inexpensive method to predict crop yields using publicly available remote sensing data. This solution if implemented at the soil health centers which have been set up by the government could help all the farmers to use minimum fertilizers, so as to maintain the soil health and also would provide them an opportunity to gain at most revenue from the same piece of land.