A practical guide to using Root Quantify for polygon ROI selection, background correction, binary-mask cleanup, and organized export before downstream root analysis.
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 validation-first research framework connecting multi-view reconstruction, plant geometry, radiative transfer, leaf physiology, and canopy-scale uncertainty.
A validation-first workflow for processing DJI P4 Multispectral imagery in WebODM, checking band metadata in QGIS, and extracting plot-level vegetation features.
A concise, reproducibility-focused route from tensors and training loops to transfer learning, evaluation, safe checkpoints, and deployment boundaries.
An experimental, validation-first protocol for acquiring and reconstructing multi-view images of potted cotton plants in a controlled environment.
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.
