Farm Performance Analysis

Project Overview

This project analyzes farm performance data to identify:

• Best performing farmer
• Most profitable crop
• Farmer improvement over time
• Land-use efficiency
• Relationship between farm size and productivity

Tools Used

• Python
• Pandas
• NumPy
• Matplotlib

KPIs Created

Yield per Hectare

Yield_per_Ha = Yield_Kg / Farm_Size_Ha

Revenue per Hectare

Revenue_per_Ha = Revenue / Farm_Size_Ha

Key Findings

• Amina had the highest land-use efficiency.
• John generated the highest total revenue.
• Maize was the most profitable crop.
• Farm size showed little relationship with productivity.

Recommendation

Investigate the farming practices used by Amina and evaluate whether they can be replicated across other farms.