Automated software for counting and measuring Hyalella genus using artificial intelligence
- DOI
- 10.1007/s11356-023-30835-8
- Published
- 2023-11-22
- Container
- Environmental Science and Pollution Research
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11356-023-30835-8,
title = {Automated software for counting and measuring Hyalella genus using artificial intelligence},
author = {Ludy Pineda-Alarcón and Maycol Zuluaga and Santiago Ruíz and David Fernandez Mc Cann and Fabio Vélez and Nestor Aguirre and Yarin Puerta and Julio Cañón},
year = {2023},
journal = {Environmental Science and Pollution Research},
doi = {10.1007/s11356-023-30835-8},
url = {https://doi.org/10.1007/s11356-023-30835-8}
}RIS
TY - JOUR TI - Automated software for counting and measuring Hyalella genus using artificial intelligence AU - Ludy Pineda-Alarcón AU - Maycol Zuluaga AU - Santiago Ruíz AU - David Fernandez Mc Cann AU - Fabio Vélez AU - Nestor Aguirre AU - Yarin Puerta AU - Julio Cañón PY - 2023 JO - Environmental Science and Pollution Research DO - 10.1007/s11356-023-30835-8 UR - https://doi.org/10.1007/s11356-023-30835-8 ER -
APA
Pineda-Alarcón, L., Zuluaga, M., Ruíz, S., Cann, D. F. M., Vélez, F., Aguirre, N., Puerta, Y., & Cañón, J. (2023). Automated software for counting and measuring Hyalella genus using artificial intelligence. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-023-30835-8
Source records
- crossref · retrieved 2026-09-27T04:02:59.854Z