Design and Implementation of Forecast Remedy Technique to Maximize The Yield of Farming Using Deep Learning

India is known as agriculture dominated country. India’s agriculture is composed of many crops, with the foremost essential food being rice and wheat with sugarcane, oilseeds, and such non-food items as cotton, rubber and jute. Crop productivity per hector in India are generally low because of an exponential rise in population, extensive utilization of natural resources, increase in pollution levels due to the saturated industrial growth, overuse of automobiles, overrunning of people on farmland to build residential complex because of this the environmental balance is getting affected to a great extent, directly impacting on the very important growth factor of the country i.e. Agriculture. As increase in population the demand of staple food getting increases but due to unpredictable rain or windstorm or a predictable rain that does not turn up on time, spoils everything. This leads to a huge loss to the farmer, the consumers and ultimately the nation. By taking into consideration of above scenario we are trying to prevent the accidental measures using continuous live observation and weather forecasting so that farmer could get notification time to time like what is going to happen regarding environmental? What types of precaution should I take while farming? What types of disinfectant spraying should I? Because of this pre-intimation of the system, one can notify unpredictable rain or windstorm or a predictable rain that does not turn up on time, result of this, will try to avoid spoils of crops and try to increase the crop yield.