Predictions of oil volume in palm fruit and estimates of their ripeness: A comparative study of machine learning algorithms

• Autorzy: Shuaib S.E. , Riyapan P. , Jumrat S. , Pianroj Y. , Muangprathub J.
• Języki publikacji: EN

Abstrakty

EN

• Wydawca: -
• Czasopismo: Acta Agrobotanica
• Rocznik: 2024
• Tom: 77
• Opis fizyczny: Article 196387 [18 p.],fig.,ref.

Twórcy

autor

Shuaib S.E.

• College of Digital Science, Prince of Songkla University, Songkla 90110, Thailand

autor

Riyapan P.

• Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Pattani 94000, Thailand

autor

Jumrat S.

• Faculty of Science and Industrial Technology, Prince of Songkla University, Surat Thani Campus, Surat Thani 84000, Thailand
• Integrated High-Value Oleochemical Research Center, Prince of Songkla University, Surat Thani Campus, Surat Thani 84000, Thailand

autor

Pianroj Y.

• Faculty of Science and Industrial Technology, Prince of Songkla University, Surat Thani Campus, Surat Thani 84000, Thailand
• Integrated High-Value Oleochemical Research Center, Prince of Songkla University, Surat Thani Campus, Surat Thani 84000, Thailand

autor

Muangprathub J.

• Faculty of Science and Industrial Technology, Prince of Songkla University, Surat Thani Campus, Surat Thani 84000, Thailand
• Integrated High-Value Oleochemical Research Center, Prince of Songkla University, Surat Thani Campus, Surat Thani 84000, Thailand

Identyfikatory

DOI

10.5586/aa/196387