Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine Learning, and Proximal Sensing Spectroscopy

Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine Learning, and Proximal Sensing Spectroscopy

This paper explores the application and advantages of remote sensing, machine learning, and mid-infrared spectroscopy (MIR) as a popular proximal sensing spectroscopy tool in the estimation of soil organic carbon (SOC). It underscores the practical implications and benefits of the integrated approac...

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Bibliographic Details
Main Authors: Tong Li, Anquan Xia, Timothy I. McLaren, Rajiv Pandey, Zhihong Xu, Hongdou Liu, Sean Manning, Oli Madgett, Sam Duncan, Peter Rasmussen, Florian Ruhnke, Onur Yüzügüllü, Noura Fajraoui, Deeksha Beniwal, Scott Chapman, Georgios Tsiminis, Chaya Smith, Ram C. Dalal, Yash P. Dang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
carbon cycle
sustainable farming
low-cost estimation
model
commercialization
Online Access:https://www.mdpi.com/2072-4292/15/23/5571

Internet

https://www.mdpi.com/2072-4292/15/23/5571

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