Deep learning and IoT-based framework for sesame plant identification and weed detection.
- DOI
- 10.1038/s41598-026-47961-1
- Published
- 2026 May 14
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-47961-1,
title = {Deep learning and IoT-based framework for sesame plant identification and weed detection.},
author = {Nagaraj P and Muneeswaran V and Sudar KM and Asraf SAKS and Muthusamy S and Chan CK and Sonawane C},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-47961-1},
url = {https://doi.org/10.1038/s41598-026-47961-1}
}RIS
TY - JOUR TI - Deep learning and IoT-based framework for sesame plant identification and weed detection. AU - Nagaraj P AU - Muneeswaran V AU - Sudar KM AU - Asraf SAKS AU - Muthusamy S AU - Chan CK AU - Sonawane C PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-47961-1 UR - https://doi.org/10.1038/s41598-026-47961-1 ER -
APA
P, N., V, M., KM, S., SAKS, A., S, M., CK, C., & C, S. (2026). Deep learning and IoT-based framework for sesame plant identification and weed detection.. Scientific reports. https://doi.org/10.1038/s41598-026-47961-1
Source records
- pubmed · retrieved 2026-09-26T02:32:59.293Z