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High-Quality 3D Multispectral Point Clouds by Iván Puertas Alonso is a document available to read on EtoBox.

What is High-Quality 3D Multispectral Point Clouds about?

This study presents a novel method for generating high-quality 3D multispectral point clouds (3DMPCs) for plant phenotyping using adaptive data acquisition and a neural reference field (NeREF) for radiometric calibration. The approach includes an efficient next-best-view (NBV) estimation and a path planning algorithm that significantly improves data integrity and chlorophyll content estimation accuracy. The integration of these techniques enables more precise analysis of plant morphological and physiologica

Author

Iván Puertas Alonso

Language

EN