Journal Press India^®

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Climate change and agriculture are related to each other, both of which take place on a worldwide scale. Global warming would have significant impacts on conditions affecting agriculture, including temperature and precipitation. Thus climatic conditions are drastically changing. Hence the farmers cultivate the crop and sometimes due to changing climatic conditions, the crop fails and farmers are unable to earn from it. Excessive rains, water scarcity, drought are many of those things which are known in prior, preventions can be taken. Since this is not the case here in our country, the sudden climatic change affects a very important community of India, the farmers. The paper gives a brief study of important climatic features and its impact on crops. Machine Learning algorithms are applied to the data that has been collected from the India Water Portal (Karnataka State, India).Various classification machine learning algorithms are tested on the available data to get the best results.

Keywords

Climate, agriculture, crop cultivation analysis,crop prediction, machine learning, classification

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