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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Predicting forage yield and water use efficiency using machine learning across diverse forage species under varying irrigation and fertilizer management in the Ethiopian highlands

  • Misbah A. Hussein
  • Fikadu T. Riga
  • Aschalew K. Tebeje
  • Tewodros T. Assefa
  • Melkamu B. Derseh
  • Seifu A. Tilahun
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{hussein2026predicting,
  title = {{Predicting forage yield and water use efficiency using machine learning across diverse forage species under varying irrigation and fertilizer management in the Ethiopian highlands}},
  author = {Misbah A. Hussein and Fikadu T. Riga and Aschalew K. Tebeje and Tewodros T. Assefa and Melkamu B. Derseh and Seifu A. Tilahun},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-77184-3},
  url = {https://www.nature.com/articles/s41598-026-77184-3},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Predicting forage yield and water use efficiency using machine learning across diverse forage species under varying irrigation and fertilizer management in the Ethiopian highlands
AU  - Misbah A. Hussein
AU  - Fikadu T. Riga
AU  - Aschalew K. Tebeje
AU  - Tewodros T. Assefa
AU  - Melkamu B. Derseh
AU  - Seifu A. Tilahun
PY  - 2026
DA  - 2026/10/28
JO  - Scientific Reports
DO  - 10.1038/s41598-026-77184-3
UR  - https://www.nature.com/articles/s41598-026-77184-3
SN  - 2045-2322
ER  -