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Investigation on data fusion of sun-induced chlorophyll fluorescence and reflectance for photosynthetic capacity of rice
This research aims to enhance accuracy by combining leaf reflectance and sun-induced chlorophyll fluorescence (SIF) signals to estimate key photosynthetic traits in rice.
Generating high-quality 3DMPCs by adaptive data acquisition and NeREF-based radiometric calibration with UGV plant phenotyping system
The integrity of the whole-plant data was improved by an average of 23. 6% compared to the fixed viewpoints alone.
PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage
This study proves that the deep-learning-based point cloud segmentation method has a great potential for resolving dense plant point clouds with complex morphological traits.
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