Comparative analysis of seven machine learning algorithms and five empirical models to estimate soil thermal conductivity

Research article (Agricultural and Forest Meteorology, 2022) · cited 59× · AI/ML
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Comparative analysis of seven machine learning algorithms and five empirical models to estimate soil thermal conductivity

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Comparative analysis of seven machine learning algorithms and five empirical models to estimate soil thermal conductivity is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparative analysis of seven machine learning algorithms and five empirical models to estimate soil thermal conductivity. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-analysis-of-seven-machine-learning-algorithms-and-five-empirical-models-to-estimate-soil-thermal-conductivit
MLA “Comparative analysis of seven machine learning algorithms and five empirical models to estimate soil thermal conductivity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparative-analysis-of-seven-machine-learning-algorithms-and-five-empirical-models-to-estimate-soil-thermal-conductivit.
BibTeX @misc{4ortxyz_comparative-analysis-of-seven-machine-learning-algorithms-and-five-empirical-models-to-estimate-soil-thermal-conductivit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative analysis of seven machine learning algorithms and five empirical models to estimate soil thermal conductivity}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-analysis-of-seven-machine-learning-algorithms-and-five-empirical-models-to-estimate-soil-thermal-conductivit}, note = {Accessed: 2026-05-24}}
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