Bootstrapping Enhanced Model for Improving Soil Nitrogen Prediction Accuracy in Arid Wheat Fields

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...

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Bibliographic Details
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:
bootstrapping
fertility management
machine learning
random forest
soil nitrogen
Online Access:https://www.mdpi.com/2504-3129/6/2/23
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https://www.mdpi.com/2504-3129/6/2/23

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