Design and implementation of a deep learning framework for automated crop classification and health diagnosis in precision agriculture.
- DOI
- 10.1038/s41598-026-42151-5
- Published
- 2026 Feb 28
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-42151-5,
title = {Design and implementation of a deep learning framework for automated crop classification and health diagnosis in precision agriculture.},
author = {Pal AK and Patro BDK and Chaube S},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-42151-5},
url = {https://doi.org/10.1038/s41598-026-42151-5}
}RIS
TY - JOUR TI - Design and implementation of a deep learning framework for automated crop classification and health diagnosis in precision agriculture. AU - Pal AK AU - Patro BDK AU - Chaube S PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-42151-5 UR - https://doi.org/10.1038/s41598-026-42151-5 ER -
APA
AK, P., BDK, P., & S, C. (2026). Design and implementation of a deep learning framework for automated crop classification and health diagnosis in precision agriculture.. Scientific reports. https://doi.org/10.1038/s41598-026-42151-5
Source records
- pubmed · retrieved 2026-09-26T12:06:46.994Z