Machine learning-based soil aggregation assessment under four scenarios in northwestern Iran

• Autorzy: Nazeri P , Ayoubi S. , Khademi H. , Afshar F.A. , Mousavi R.
• Języki publikacji: EN

Abstrakty

EN

• Wydawca: -
• Czasopismo: International Agrophysics
• Rocznik: 2024
• Tom: 38
• Numer: 3
• Opis fizyczny: p.293-310,fig.,ref.

Twórcy

autor

Nazeri P

• Department of Soil Science, College of Agriculture, Isfahan University of Technology, 8415683111, Isfahan, Iran

autor

Ayoubi S.

• Department of Soil Science, College of Agriculture, Isfahan University of Technology, 8415683111, Isfahan, Iran

autor

Khademi H.

• Department of Soil Science, College of Agriculture, Isfahan University of Technology, 8415683111, Isfahan, Iran

autor

Afshar F.A.

• Department of Soil Science, College of Agriculture, Isfahan University of Technology, 8415683111, Isfahan, Iran
• Department of Soil Science, Faculty of Agriculture, University of Jiroft, Jiroft 78671-61167, Iran

autor

Mousavi R.

• Department of Soil Science, Faculty of Agriculture, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran

Identyfikatory

DOI

10.31545/intagr/188506