Key Insights:

• Farms with rainwater harvesting systems experience a higher percentage of low-impact drought conditions.
• Surprisingly, farms without these systems showed slightly higher average yields during both low and moderate drought impacts.
• The differences in crop yields between farms with and without rainwater harvesting systems were not statistically significant.
• This held true for both low impact (p-value = 0.8474) and moderate impact (p-value = 0.3338) drought conditions.

• Data Analysis: Utilized Python and Pandas for data analysis, examining the correlation between rainfall and crop yield.
• Visualization: Created visual representations of drought impact levels and crop yields using Matplotlib and Seaborn.
• Statistical Testing: Conducted statistical tests to evaluate the significance of differences in crop yields.

Project Impact: The findings suggest that while rainwater harvesting systems mitigate drought severity, integrating them with other agricultural practices could enhance crop productivity. This analysis informs future water distribution efforts in semi-arid regions.

• Github Project