Use of Machine Learning Models for Prediction of Organic Carbon and Nitrogen in Soil from Hyperspectral Imagery in Laboratory

Use of Machine Learning Models for Prediction of Organic Carbon and Nitrogen in Soil from Hyperspectral Imagery in Laboratory

Organic carbon and total nitrogen are essential nutrients for plant growth. The presence of these nutrients at acceptable levels can create an optimal environment for the development of crops of interest. The application of spectroscopic techniques and the use of machine learning algorithms have mad...

Full description

Saved in:
Bibliographic Details
Main Authors: Manuela Ortega Monsalve, Mario Cerón-Muñoz, Luis Galeano-Vasco, Marisol Medina-Sierra
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Spectroscopy
Online Access:http://dx.doi.org/10.1155/2023/4389885
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items