Paper Title: Crop Recommendation System Based on Productivity and Season Using Machine & Deep Learning

Author's name: Sivakumar, Dr.V.Srithar

In Tamil Nadu, the coastal & Delta Farmers Faces Decrease in Production need for more Population but it can’t be reached. In Past Farmers have certain crop for a period but now it cannot be used due to climatic factors. The Agri-facts is the data from insight about parameters and Agriculture factors. The agriculture also been developed like IT field. With the help of IT drives to collect Agri-Science to help the farmers for good agricultural information. The Improve agricultural field in current scenario is only done by applying intelligence in modern technologies. By the usage of Machine Learning Techniques, it helps in Prediction by the given data. We can solve some agricultural problems like Crop Prediction, Rotation of crops, Fertilizer usage, Requirement of water level and Production of crops. In modern days the climatic changes are frequently changing over the [period of time. The Crop Cultivation is Tricky so that to have Modern Techniques such as Machine Learning to solve the cultivation issues and help the farmers in management and production. It may help for Future Farmers and upcoming agriculturists. By the use of Data Mining can help the farmers on crop cultivation in crop recommendation. By Implementing data mining it helps to improve the quantity and recommendations crop on climatic changes. It recommends the crop on basis of climate and soil data.

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