Hybridizing deep learning algorithms and geostatistical approaches for improved crop yield disaggregation.

R S, Jain R, Singh VK, Bharadwaj A, Sehgal VK, Biswas A, Arora A, Krishna H

DOI: 10.1371/journal.pone.0344081
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0344081,
  title = {Hybridizing deep learning algorithms and geostatistical approaches for improved crop yield disaggregation.},
  author = {R S and Jain R and Singh VK and Bharadwaj A and Sehgal VK and Biswas A and Arora A and Krishna H},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0344081},
  url = {https://doi.org/10.1371/journal.pone.0344081}
}

RIS

TY  - JOUR
TI  - Hybridizing deep learning algorithms and geostatistical approaches for improved crop yield disaggregation.
AU  - R S
AU  - Jain R
AU  - Singh VK
AU  - Bharadwaj A
AU  - Sehgal VK
AU  - Biswas A
AU  - Arora A
AU  - Krishna H
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0344081
UR  - https://doi.org/10.1371/journal.pone.0344081
ER  -

APA

S, R., R, J., VK, S., A, B., VK, S., A, B., A, A., & H, K. (2026). Hybridizing deep learning algorithms and geostatistical approaches for improved crop yield disaggregation.. PloS one. https://doi.org/10.1371/journal.pone.0344081

Source records

pubmed · retrieved 2026-09-25T17:13:25.262Z