Research notebook
Practical field notes at the intersection of artificial intelligence, plant phenotyping, imaging, and scientific software.
Latest notes
Concise project records and technical guides, revised to separate verified results from experimental workflows.
An interactive OpenCV tool that turns raw root scans and photographs into clean binary images through polygon ROI selection, illumination correction, thresholding and brush-based correction, ready for root-trait software.
A maintainable workflow for choosing a local model, testing it with Ollama, planning parameter-efficient fine-tuning, evaluating results, and exposing a service safely.
A modular model that reconstructs crop plants from multi-view images, assembles a triangle-facet canopy, simulates its light distribution by ray tracing, and integrates leaf photosynthesis to canopy carbon gain.
Processing DJI P4 Multispectral imagery into radiometrically documented orthomosaics in WebODM, checking bands in QGIS, and extracting plot-level vegetation indices and texture features.
A concise, reproducibility-focused route from tensors and training loops to transfer learning, evaluation, safe checkpoints, and deployment boundaries.
A growth-chamber protocol that reconstructs potted cotton plants from two-elevation turntable video with structure from motion, with scale control, colour correction and accuracy assessment.
A practical workflow for structuring Python research projects, recording environments, collaborating through Git, and preserving data provenance.
A safe, modern introduction to repositories, commits, branches, remotes, pull requests, authentication, and undoing mistakes.
A compact, safety-aware reference for everyday macOS, Finder, text-editing, browser, screenshot, and recovery shortcuts.
