04 — Methods
Tutorials, videos, and tools used in crop science research — covering UAV image analysis, machine learning, 3D measurement, and more. Shared openly to support reproducibility and knowledge exchange.
Python Vibe Coding Course (5 Parts)
A structured guide for researchers: local environment setup → LLM-assisted coding → reproducibility → publishing with your paper
Cloud-Based Python Vibe Coding — Google Colab
For those who want to try Python without local setup. When to choose Colab vs. the Python Vibe Coding Course (local), with a pointer to a step-by-step blog walkthrough
Feature extraction from UAV orthoimages using QGIS
Step-by-step guide to calculating vegetation indices (SR, canopy height) via raster computation and exporting field-level CSV data
Texture analysis of UAV orthoimages using QGIS and Orfeo Toolbox
Running Haralick texture extraction with QGIS + OTB and applying results to crop growth estimation
Multispectral orthoimage development with Metashape
YouTube — Step-by-step tutorial for generating multispectral orthoimages from UAV imagery using Agisoft Metashape
LAYZER: Leaf Area analYZER
Zenodo / DOI: 10.5281/zenodo.18500958 — Python desktop app for automated leaf area measurement from RGB images using Excess Green (ExG) index and Otsu thresholding. Open source (CC BY 4.0)
Vegetation Image Analysis Web App
Free Streamlit web app — upload a vegetation image to instantly obtain analysis results