Comparison of Machine Learning Methods for Predicting Soil Total Nitrogen Content Usi... | RTCL.TV
Channel: STEM RTCL TV
Date: 01/10/2023

### Keywords ###
#soiltotalnitrogencontent #randomforest #gradientboostingmachine #extremegradientboosting #remotesensing #digitalsoilmapping #RTCLTV #shorts

### Article Attribution ###
Title: Comparison of Machine Learning Methods for Predicting Soil Total Nitrogen Content Using Landsat-8, Sentinel-1, and Sentinel-2 Images
Authors: Qingwen Zhang, Mingyue Liu, Yongbin Zhang, Dehua Mao, Fuping Li, Fenghua Wu, Jingru Song, Xiang Li, Caiyao Kou, Chunjing Li ,and Weidong Man
Publisher: MDPI AG
DOI: 10.3390/rs15112907
DOAJ URL: https://doaj.org/article/bf8d74e6fc164958a2d826f85175030a
Source URL: https://www.mdpi.com/2072-4292/15/11/2907



### Image Attribution ###
We used stable diffusion to programmatically generate the background images. 
Viewer discretion is advised.

### Channels ###
YouTube Channel: https://www.youtube.com/@stemrtcltv
Odysee Channel: https://odysee.com/@stem_rtcl_tv

### Video Timestamps ###
0:00:00 - Summary 
0:00:45 - Title 
0:00:51 - End