Sorghum Dashboard

https://jflater.github.io/sorghum-rye-modeling/dashboard/

Sorghum-Rye Modeling Pipeline

Location: Ames, Iowa (Historical Data 1988-2024)
Tools: APSIM NextGen, Python 3.12, SQLite, Pandas

Project Overview

This repository contains a reproducible modeling pipeline for simulating Sorghum growth in a Sorghum-Rye cropping system. It automates the execution of APSIM NextGen simulations and extracts high-resolution agronomic data into analysis-ready formats.

Key Features

• Automated Workflow: Python-based execution of .apsimx files via the .NET runtime.
• Environmental Forcing: Integrated with 35+ years of historical weather data from Ames, IA.
• Data Extraction: Automated SQLite-to-Pandas bridge for rapid results processing.

Technical Troubleshooting Notes

• Path Resolution: Implemented absolute pathing for .met files to support headless Linux/WSL2 execution.
• Model Stability: Optimized sowing windows (May-June) to resolve PMF numerical instabilities and NaN errors in radiation interception calculations.

How to Run

1. Ensure .NET SDK 8.0 and APSIM NextGen are installed.
2. python3 scripts/run_sim.py