Data-driven prediction of methane potential of food waste collected from diverse waste sources.

Nabulime MN, Li Y, Wang Z, Ge X, Chuenchart W, Lansing S

DOI: 10.1016/j.biortech.2026.135956
Published: 2026 Sep 26
Container: Bioresource technology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.biortech.2026.135956,
  title = {Data-driven prediction of methane potential of food waste collected from diverse waste sources.},
  author = {Nabulime MN and Li Y and Wang Z and Ge X and Chuenchart W and Lansing S},
  year = {2026},
  journal = {Bioresource technology},
  doi = {10.1016/j.biortech.2026.135956},
  url = {https://doi.org/10.1016/j.biortech.2026.135956}
}

RIS

TY  - JOUR
TI  - Data-driven prediction of methane potential of food waste collected from diverse waste sources.
AU  - Nabulime MN
AU  - Li Y
AU  - Wang Z
AU  - Ge X
AU  - Chuenchart W
AU  - Lansing S
PY  - 2026
JO  - Bioresource technology
DO  - 10.1016/j.biortech.2026.135956
UR  - https://doi.org/10.1016/j.biortech.2026.135956
ER  -

APA

MN, N., Y, L., Z, W., X, G., W, C., & S, L. (2026). Data-driven prediction of methane potential of food waste collected from diverse waste sources.. Bioresource technology. https://doi.org/10.1016/j.biortech.2026.135956

Source records

pubmed · retrieved 2026-09-27T07:49:06.023Z