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Table 1 Overview of the phenotyping methodology and trait derived from the corresponding methods in the study. R, Red; G, Green; B, Blue

From: PI-Plat: a high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits

PhenotypingAnalysis methodTraits extractedDescription
Developing panicle (week 1, 2 and 3 post-fertilization)Reconstruction of 3D point cloud from multi-view imagesVoxel countTotal number of points in 3D reconstructed point cloud, which can be used to estimate the overall volume
Color sum—R, G, BSum of color intensities of signals from R, G, and B channels
Color intensity − ratio of R to GRatio of intensity in red channel and the intensity in green channel
Multi-view 2D image analysisPixel countTotal pixel counts to estimate 2D surface area of the panicle
Mature panicleSingle-view conventional 2D scanningProjected seed countEstimation of total number of seeds
Projected surface areaEstimation of total surface area
Seed areaMean area of all seeds
Seed major and minor axis lengthMean major and minor axis length of all seeds
Manual measurementYield-related traitsTotal number of seeds, total seed weight, fertility and weight per seed