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Soybean Seed Quality Assessment Using AI and Machine Learning Models Cover

Soybean Seed Quality Assessment Using AI and Machine Learning Models

Open Access
|Sep 2026

Authors

Sajad Sabzi

s.sabzi@gau.ac.ir

Gorgan University of Agricultural Sciences and Natural Resources, Faculty of Water and Soil Engineering, Department of Biosystems Engineering, Gorgan, Iran

Raziyeh Pourdarbani

r_pourdarbani@uma.ac.ir

University of Mohaghegh Ardabili, Faculty of Agricultural and Natural Resources, Department of Biosystems Engineering, Ardabil, Iran

Mahan Masoumzade

mahan.48415@gmail.com

Sharif University of Technology, Faculty of Computer Engineering, Department of Computer Engineering, Tehran, Iran

José Luis Hernandez-Hernandez

joseluis.hernandez@itchilpancingo.edu.mx

National Technological Institute of México, Technological Institute of Chilpancingo, Chilpancingo, México
DOI: https://doi.org/10.2478/ata-2026-0021 | Journal eISSN: 1338-5267 | Journal ISSN: 1335-2555
Language: English
Page range: 179 - 187
Published on: Sep 5, 2026
Published by: Slovak University of Agriculture in Nitra
In partnership with: Paradigm Publishing Services

© 2026 Sajad Sabzi, Raziyeh Pourdarbani, Mahan Masoumzade, José Luis Hernandez-Hernandez, published by Slovak University of Agriculture in Nitra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.