Semi-Arid Farming Analysis: Rainwater Harvesting Impact
Python data analysis of the impact of rainwater harvesting systems on crop yields and drought resilience in semi-arid farming regions. The analysis provides insights into effective water management strategies.
Project overview
Python data analysis of the impact of rainwater harvesting systems on crop yields and drought resilience in semi-arid farming regions. The analysis provides insights into effective water management strategies.
Key Insights:
Approach & tools
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.
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Open the project repository to review the analysis, notebooks, SQL, dashboards, or supporting files.
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