3 篇博文 含有标签「Phenomics」

Platform Overview​

MCTP (Multi‑modal Crop Trait Processing) is a unified data processing platform designed for plant phenotyping workflows. It brings hyperspectral, LiDAR, RGB, and thermal imaging into a single pipeline with consistent GUI experiences, reproducible parameter tuning, batch processing, and standardized outputs—making multi‑modal analysis easier to manage and scale.

MCTP is a self-developed field walking phenotyping platform by Shufeng Bio, and I was responsible for system optimization and data processing and analysis during the development process.

Project Overview​

Light distribution within crop canopies determines how efficiently plants convert sunlight into biomass. Our latest study presents a new framework that links leaf anatomy and physiology to optical properties, providing a pathway toward predictive modeling of canopy photosynthesis.

We developed a novel Directional Spectrum Detection Instrument (DSDI) and an ensemble learning (EL) model that accurately predict Bidirectional Reflectance Distribution Function (BRDF) parameters from measurable phenotypic traits.

This work integrates optical physics, phenotyping, and data-driven modeling to enable computational quantification of leaf optical diversity—a key step toward designing crop canopies with higher light-use efficiency.

1. Flight Path Design and Image Acquisition​

UAV image acquisition employs a CCO (Cross-Complementary Overlap) flight path design strategy. This strategy enhances viewpoint diversity through multi-directional cross-flight paths to strengthen geometric constraints for 3D reconstruction.

Key Design Points:​

• Multi sets of flight paths in different directions: Ensures multi-angle capture of crop canopy structure
• Forward and side overlap rates higher than conventional orthophoto requirements: Provides sufficient matching points for SfM reconstruction
• Image acquisition primarily serves 3D reconstruction goals: Rather than only satisfying orthophoto mosaic requirements

Based on industry-grade UAV platforms, multi-view RGB images of farmland are collected to provide unified data sources for subsequent orthophoto mosaic and 3D modeling.