04 — Methods
Tutorials, videos, and tools I use in crop science research, covering UAV image analysis, machine learning, 3D measurement, and more. They are shared openly to support reproducibility and the exchange of knowledge.
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 with Google Colab
For those who want to try Python without setting anything up locally. It explains when to choose Colab over the local Python Vibe Coding Course, and points 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
A Python desktop app that automatically separates leaves and stems in RGB images and measures the area, length, and width of each one. Supports region selection, real-world scale calibration, and CSV export. Open source under CC BY 4.0, available on Zenodo with DOI 10.5281/zenodo.18500957
Vegetation Image Analysis Web App
Free Streamlit web app — upload a vegetation image to instantly obtain analysis results