CropForge is an open-source, code-first virtual farm runtime that enables agricultural researchers to define, execute, and visually analyse crop simulations entirely from Python code. It is distributed as a pip-installable package and runs completely on the researcher's local machine.

M.S. thesis workspace for CYCLES-based crop-management reinforcement learning experiments, reporting, and dashboard artifacts.

Stochastic Daily Weather Generator for Malaysia

Research toolkit for APSIM-backed crop simulation, reinforcement learning workflows, calibration, and public-data ingestion.