MCTP: A Multi-Modal Crop Phenotyping Data Processing Platform
A desktop platform that processes hyperspectral, LiDAR, RGB and thermal phenotyping data with one interface, interactive parameter tuning, batch processing and structured exports.
Topic collection
Calibrated aerial and spectral observations for crop research.
A desktop platform that processes hyperspectral, LiDAR, RGB and thermal phenotyping data with one interface, interactive parameter tuning, batch processing and structured exports.
A measuring and analysis framework that predicts leaf BRDF parameters from phenotypic traits in four species, combining directional spectroscopy, Cook–Torrance fitting, ensemble learning and canopy ray tracing (Plant Phenomics, 2025).
A UAV workflow for plot-level 3D crop phenotyping: Cross-Circular Oblique flight design, SfM reconstruction, canopy point-cloud processing with CanopyPC, and machine-learning models of crop traits.
Processing DJI P4 Multispectral imagery into radiometrically documented orthomosaics in WebODM, checking bands in QGIS, and extracting plot-level vegetation indices and texture features.