EcoNet-Multi: optimising deep learning frameworks for robust waste detection in diverse global environments.

Shukla AK, Dwivedi S

DOI: 10.3389/fpls.2026.1878199
Published: 2026
Container: Frontiers in plant science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2026.1878199,
  title = {EcoNet-Multi: optimising deep learning frameworks for robust waste detection in diverse global environments.},
  author = {Shukla AK and Dwivedi S},
  year = {2026},
  journal = {Frontiers in plant science},
  doi = {10.3389/fpls.2026.1878199},
  url = {https://doi.org/10.3389/fpls.2026.1878199}
}

RIS

TY  - JOUR
TI  - EcoNet-Multi: optimising deep learning frameworks for robust waste detection in diverse global environments.
AU  - Shukla AK
AU  - Dwivedi S
PY  - 2026
JO  - Frontiers in plant science
DO  - 10.3389/fpls.2026.1878199
UR  - https://doi.org/10.3389/fpls.2026.1878199
ER  -

APA

AK, S., & S, D. (2026). EcoNet-Multi: optimising deep learning frameworks for robust waste detection in diverse global environments.. Frontiers in plant science. https://doi.org/10.3389/fpls.2026.1878199

Source records

pubmed · retrieved 2026-09-25T04:17:03.383Z