Data Analysis on Rainfall and its impacts on Agriculture
Akanksha Singh
India's agricultural industry, which is highly dependent on monsoons, is greatly impacted by rainfall. This project's goal is to do an exploratory data analysis (EDA) of Indian rainfall patterns and determine how it would affect agriculture. In order to find trends and patterns in the data, statistical techniques will be used to gather and analysis historical rainfall data from a variety of sources. The study also looks at the connection between rainfall and agricultural production, concentrating on how rainfall affects crop yields and irrigation use. The findings of this study can help farmers and policymakers create methods to lessen the effects of rainfall unpredictability on agriculture. These results emphasize the need of proactive initiatives, such as the creation of drought-resistant crops, water conservation techniques, and enhanced irrigation infrastructure, to reduce the impact of rainfall unpredictability on agriculture in India.
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Quantam Computing Publication