Estimation of Soil Cations Based on Visible and Near-Infrared Spectroscopy and Machine Learning
Soil exchange cations are a basic indicator of soil quality and environmental clean-up potential. The accurate and efficient acquisition of information on soil cation content is of great importance for the monitoring of soil quality and pollution prevention. At present, few scholars focus on soil ex...
Main Authors: | Yiping Peng, Ting Wang, Shujuan Xie, Zhenhua Liu, Chenjie Lin, Yueming Hu, Jianfang Wang, Xiaoyun Mao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
|
Series: | Agriculture |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0472/13/6/1237 |
Similar Items
-
Identification of Maturity Stage of Cacao using Visible Near Infrared (Vis-NIR) and Shortwave Near Infrared (SW-NIR) Reflectance Spectroscopy
by: Listanti Riana, et al.
Published: (2023-01-01) -
EVALUATION OF INDONESIAN LOCAL SOYBEAN BASED ON CHEMICAL CHARACTERISTICS AND VISIBLE - NEAR INFRARED SPECTRA WITH CHEMOMETRICS
by: Rudiati Evi Masithoh, et al.
Published: (2024-04-01) -
Monitoring and prediction of sensory shelf‐life in strawberry with ultraviolet‐visible‐near‐infrared (UV‐VIS‐NIR) spectroscopy
by: Prabesh Joshi, et al.
Published: (2022-12-01) -
Assessment of integrated freshness index of different varieties of eggs using the visible and near-infrared spectroscopy
by: Dandan Fu, et al.
Published: (2023-09-01) -
Quality Assessment and Ripeness Prediction of Table Grapes Using Visible–Near-Infrared Spectroscopy
by: Fengjiao Ping, et al.
Published: (2023-06-01)