erickNjuki/Agricultural-Emissions

Kenya Agricultural emissions # GHG Accounting Model for Regenerative Agriculture Supply Chains — Kenya Edition **This fork replaces the original US-based placeholder data with Kenya-specific facilities, crops, fuels, grid factor, and livestock, grounded in EPRA, KNBS, IPCC Africa Tier 1, and agronomic literature. See "Kenya Data Notes" below for full sourcing.** # Agriculture Emissions Dashboard Interactive Streamlit dashboard for analyzing agricultural emissions, fertilizer sensitivity, and cost-emissions tradeoffs. ## Live Demo [Open the dashboard] (agriculture-emissions-dashb…) Note: the live demo linked above still runs on the original US dataset; this repo's `data/` folder has been swapped for the Kenya dataset described below. ## Features - Emissions breakdown by scope - Fertilizer reduction sensitivity analysis - Cost vs emissions tradeoff modeling ## Overview This project implements a Python-based greenhouse gas (GHG) accounting model for agricultural operations and supply chains. It demonstrates how to estimate: * Scope 1 emissions (stationary + fleet fuel) * Scope 2 emissions (purchased electricity) * Farm-level emissions from inputs and operations * Emissions intensity (kgCO2e per tonne) * Scenario-based comparisons (e.g., fertilizer reduction, regenerative practices) The model is designed to reflect real-world ESG and sustainability analytics workflows while remaining transparent and easy to follow. --- ## Why this matters Agriculture is a major contributor to global emissions due to: * Fuel combustion * Fertilizer production and soil emissions (N₂O) * Input manufacturing and transport * Land management practices There is increasing interest in **regenerative agriculture** as a way to reduce emissions intensity and improve soil carbon outcomes. This project explores how different practices impact emissions and efficiency. --- ## Model Structure ### 1. Scope 1 (Operational) * Stationary combustion (facilities) * Mob …