A multi‐task deep learning–based approach to identify and assess dry root rot disease in chickpea

Piyush Priya, Joe Johnson, Athimoolam Durgadevi, Navaneeth Vinayachandran, Meghna Pillai, Bharat Maitraya, Muthukumar V. Bagavathiannan, Muthappa Senthil‐Kumar

Open source

DOI: 10.1002/aps3.70075
Published: 2026-10-30
Container: Applications in Plant Sciences
Publisher: Wiley
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1002/aps3.70075,
  title = {A multi‐task deep learning–based approach to identify and assess dry root rot disease in chickpea},
  author = {Piyush Priya and Joe Johnson and Athimoolam Durgadevi and Navaneeth Vinayachandran and Meghna Pillai and Bharat Maitraya and Muthukumar V. Bagavathiannan and Muthappa Senthil‐Kumar},
  year = {2026},
  journal = {Applications in Plant Sciences},
  doi = {10.1002/aps3.70075},
  url = {https://doi.org/10.1002/aps3.70075}
}

RIS

TY  - JOUR
TI  - A multi‐task deep learning–based approach to identify and assess dry root rot disease in chickpea
AU  - Piyush Priya
AU  - Joe Johnson
AU  - Athimoolam Durgadevi
AU  - Navaneeth Vinayachandran
AU  - Meghna Pillai
AU  - Bharat Maitraya
AU  - Muthukumar V. Bagavathiannan
AU  - Muthappa Senthil‐Kumar
PY  - 2026
JO  - Applications in Plant Sciences
DO  - 10.1002/aps3.70075
UR  - https://doi.org/10.1002/aps3.70075
ER  -

APA

Priya, P., Johnson, J., Durgadevi, A., Vinayachandran, N., Pillai, M., Maitraya, B., Bagavathiannan, M. V., & Senthil‐Kumar, M. (2026). A multi‐task deep learning–based approach to identify and assess dry root rot disease in chickpea. Applications in Plant Sciences. https://doi.org/10.1002/aps3.70075

Source records

crossref · retrieved 2026-11-03T10:19:26.539Z