Computational algorithm for soil organic carbon percentage estimation through NIR spectroscopy

Pablo Gomez; Hans Garcia; Henry Arguello

doi:10.1364/3D.2023.JW2A.7

Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP)
Technical Digest Series (Optica Publishing Group, 2023),
paper JW2A.7
•https://doi.org/10.1364/3D.2023.JW2A.7

Computational algorithm for soil organic carbon percentage estimation through NIR spectroscopy

Pablo Gomez, Hans Garcia, and Henry Arguello

3D Image Acquisition and Display: Technology, Perception and Applications 2023

Boston, Massachusetts United States
14–17 August 2023
ISBN: 978-1-957171-28-9

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Joint Poster Session II (JW2A)

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P. Gomez, H. Garcia, and H. Arguello, "Computational algorithm for soil organic carbon percentage estimation through NIR spectroscopy," in Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), Technical Digest Series (Optica Publishing Group, 2023), paper JW2A.7.

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Abstract

This work proposes a computational algorithm based on a spectral selection NIR range for soil organic carbon percentage estimation. The results show that the proposed algorithm outperforms traditional methods by up to 0.5 R².

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