Bootstrapping Enhanced Model for Improving Soil Nitrogen Prediction Accuracy in Arid Wheat Fields
Soil nitrogen (N) is a crucial nutrient for agricultural productivity and ecosystem health. The accurate and timely assessment of total soil N is essential for evaluating soil health. This study aimed to determine the impact of bootstrapping techniques on improving the predictive accuracy of indirec...
Saved in:
| Main Authors: | Qassim A. Talib Al-Shujairy, Suhad M. Al-Hedny, Mohammed A. Naser, Sadeq Muneer Shawkat, Ahmed Hatem Ali, Dinesh Panday |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Nitrogen |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-3129/6/2/23 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Parametric and nonparametric bootstrap: an analysis of indoor air data from Kuwait
by: Sana BuHamra, et al.
Published: (2018-05-01) -
Optimised block bootstrap: an efficient variant of circular block bootstrap method with application to South African economic time series data
by: James Daniel, et al.
Published: (2024-10-01) -
On the Bootstrap for Persistence Diagrams and Landscapes
by: F. Chazal, et al.
Published: (2013-12-01) -
Improved bootstrap X¯ control chart for non-normally distributed data
by: Sukma Adi Perdana, et al.
Published: (2025-06-01) -
GPU Acceleration for FHEW/TFHE Bootstrapping
by: Yu Xiao, et al.
Published: (2024-12-01)