Simplified Life Cycle Assessment (LCA) Model for Swat Apples

This repository contains a Python-based model to calculate the carbon footprint of apple production in Swat, Pakistan. The objective is to identify environmental hotspots in the supply chain using a data-driven approach based on scientific literature (IPCC, DEFRA).

➡️ View the Full Analysis in the Jupyter Notebook

The complete analysis, including the code, methodology, and results, is documented in the Jupyter Notebook:

LCA_Model_for_Swat_Apples.ipynb

Project Summary

This screening-level LCA provides a quantitative estimate of greenhouse gas emissions for one tonne of fresh apples, from cultivation to a regional distribution center.

Key Visual Outputs

The model generates two key visualizations summarizing the findings:

1. Absolute Emissions by Life Cycle Stage This chart clearly identifies which stage of the life cycle contributes the most to the overall carbon footprint.

2. Carbon Footprint Hotspot Contribution This chart shows the percentage contribution of each stage, highlighting the primary areas for improvement.

Technologies Used

• Python
• Jupyter Notebook
• Pandas (implied)
• Matplotlib
• Seaborn