arbiter
JournalsAccount

A Comparative Study on the Predictive Ability of Machine Learning Techniques for Spatial Mapping of Soil Properties in Indian Himalayan Region

Pankaj Das et al.

Journal of Agricultural, Biological and Environmental Statistics2025https://doi.org/10.1007/s13253-025-00685-7article
ABDC B
Weight
0.41

Abstract

No abstract available.

2 citations

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1007/s13253-025-00685-7

Or copy a formatted citation

@article{pankaj2025,
  title        = {{A Comparative Study on the Predictive Ability of Machine Learning Techniques for Spatial Mapping of Soil Properties in Indian Himalayan Region}},
  author       = {Pankaj Das et al.},
  journal      = {Journal of Agricultural, Biological and Environmental Statistics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s13253-025-00685-7},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

A Comparative Study on the Predictive Ability of Machine Learning Techniques for Spatial Mapping of Soil Properties in Indian Himalayan Region

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.