cropmodelling is an umbrella repository for learning, organizing, and building crop-model workflows across models, wrappers, runners, and analysis systems.

It is not meant to be "the DSSAT-wrapper repo copied into a bigger folder."

Instead, it is meant to grow into a broader crop-modeling environment that can eventually include:

• multiple crop models
• multiple wrappers and runners
• shared training materials
• reproducible case studies
• ensemble modeling ideas
• a crop-model-agnostic workflow layer

Right now the repository emphasizes:

• beginner-friendly crop-modeling lessons
• DSSAT-oriented teaching materials
• a hemp case-study pathway
• examples of how raw field notes become model-ready inputs

The DSSAT wrapper work is one module in the broader system, not the identity of this repository.

It already has its own hosted documentation:

• DSSAT-wrapper Guide

In this repository, DSSAT-wrapper should be treated as:

• one lesson pathway
• one implementation example
• one bridge into broader crop-model workflow design

The long-term direction is broader than DSSAT alone.

This repository is intended to support future work such as:

• APSIM-focused lessons and runners
• STICS-focused lessons and runners
• model comparison workflows
• shared input-preparation pipelines
• ensemble modeling across multiple crop-model families
• a crop-model-agnostic orchestration layer

• an mdBook learning site in src/
• a hemp case-study example folder in examples/hopf-hemp-case-study/
• public-facing training material for beginners, interns, and contributors

This repo does not bundle:

• private workspace dumps
• large generated outputs from one machine
• personal local datasets
• a DSSAT installation
• public model repositories cloned into the tree just for convenience

Users should bring their own model installations and public example-data clones when needed.

This repository is for:

• complete beginners
• interns learning crop modeling from scratch
• researchers building reproducible workflows
• contributors thinking beyond one model family

The book in src/ is the main entry point.

It is designed to teach:

• basic crop-modeling concepts
• agronomy concepts relevant to modeling
• how weather, soil, management, and genotype inputs are built
• how a DSSAT hemp case study works
• how this can evolve toward broader model ecosystems