Research project
4 min read
Predicting Leaf BRDF from Phenotypic Traits
A peer-reviewed framework combining directional spectroscopy, BRDF fitting, phenotypic traits, ensemble learning, and canopy ray tracing in four species.
TOPIC COLLECTION
Model development, evaluation, and deployment for scientific applications.
A peer-reviewed framework combining directional spectroscopy, BRDF fitting, phenotypic traits, ensemble learning, and canopy ray tracing in four species.
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 concise, reproducibility-focused route from tensors and training loops to transfer learning, evaluation, safe checkpoints, and deployment boundaries.