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YOLOv8n-DSLW: A Deployment-Oriented AI-Enabled Vision-Sensing Model for Tiny Strawberry Disease and Pest Detection in Greenhouse Images — Europe PMC PMID:42590607
- Source
- Europe PMC (en)
- Original
- https://europepmc.org/article/MED/42590607
- DOI
- 10.3390/s26154831
- License (as archived)
- solo-consultazione
- Archived
- 2026-10-17T08:15:10.510Z
- SHA-256 of the archived text
936f672ffc4c583ce6114e13a91d948513d983b030e7023ec67b9dbdc37b263a- Stable URL of this page
https://metraipolis.com/documento/dc_e8bfc2edbd4e
How to cite
YOLOv8n-DSLW: A Deployment-Oriented AI-Enabled Vision-Sensing Model for Tiny Strawberry Disease and Pest Detection in Greenhouse Images — Europe PMC PMID:42590607 — Europe PMC (en), https://europepmc.org/article/MED/42590607 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_e8bfc2edbd4e (Metraipolis archive dc_e8bfc2edbd4e, sha256 936f672ffc4c583ce6114e13a91d948513d983b030e7023ec67b9dbdc37b263a)
BibTeX
@misc{dce8bfc2edbd4e,
title = {YOLOv8n-DSLW: A Deployment-Oriented AI-Enabled Vision-Sensing Model for Tiny Strawberry Disease and Pest Detection in Greenhouse Images — Europe PMC PMID:42590607},
howpublished = {Europe PMC (en)},
url = {https://europepmc.org/article/MED/42590607},
note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_e8bfc2edbd4e; sha256 936f672ffc4c583ce6114e13a91d948513d983b030e7023ec67b9dbdc37b263a},
year = {2026}
}Archived text
The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/42590607. Agents can read the archived copy with the MCP tool read_document.