Evaluating pXRF accuracy for predicting soil fertility: effects of moisture and soil properties

Joao Antonangelo, Somsubhra Chakraborty, Deepanjan Mridha, Shikha Singh, Surendra Singh

Open source

DOI: 10.1038/s41598-026-58282-8
Published: 2026-06-13
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-58282-8,
  title = {Evaluating pXRF accuracy for predicting soil fertility: effects of moisture and soil properties},
  author = {Joao Antonangelo and Somsubhra Chakraborty and Deepanjan Mridha and Shikha Singh and Surendra Singh},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-58282-8},
  url = {https://doi.org/10.1038/s41598-026-58282-8}
}

RIS

TY  - JOUR
TI  - Evaluating pXRF accuracy for predicting soil fertility: effects of moisture and soil properties
AU  - Joao Antonangelo
AU  - Somsubhra Chakraborty
AU  - Deepanjan Mridha
AU  - Shikha Singh
AU  - Surendra Singh
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-58282-8
UR  - https://doi.org/10.1038/s41598-026-58282-8
ER  -

APA

Antonangelo, J., Chakraborty, S., Mridha, D., Singh, S., & Singh, S. (2026). Evaluating pXRF accuracy for predicting soil fertility: effects of moisture and soil properties. Scientific Reports. https://doi.org/10.1038/s41598-026-58282-8

Source records

crossref · retrieved 2026-09-25T20:00:43.994Z