aquacrop-ospy-knowledge
CommunityAutonomously run AquaCrop for water productivity.
Education & Research#automation#workflow#irrigation#aquacrop#deficit_irrigation#water_productivity#crop_model
Authorlzwei196
Version1.0.0
Installs0
System Documentation
What problem does it solve?
AquaCrop-OSPy requires a long sequence of integrated steps to run a simulation, from selecting a crop and configuring soil to preparing weather, setting irrigation and field management, assembling the model, executing, and analyzing outputs. This Skill consolidates the end-to-end workflow into a single, discoverable unit that an AI agent can execute autonomously.
Core Features & Use Cases
- End-to-end automation: orchestrates S1–S10 stages from crop selection to water productivity analysis.
- Deficit irrigation optimization: supports SMT sweeps and comparison across multiple irrigation strategies.
- Reproducible data pipelines: integrates weather, soil, crop, initial conditions, irrigation, and field management with preflight checks and validation.
- Use Case: Run a complete AquaCrop workflow for maize at a given location and compare WP across rainfed vs deficit irrigation scenarios.
Quick Start
Run AquaCrop-OSPy end-to-end for a maize scenario using the default pipeline and extract water productivity metrics.
Dependency Matrix
Required Modules
numpypandasxarraymatplotlibaquacropki_tools_common
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: aquacrop-ospy-knowledge Download link: https://github.com/lzwei196/KISS---Knowledge-Infrastructure-for-Scientific-Simulation/archive/main.zip#aquacrop-ospy-knowledge Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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