Article Versions Notes

Rybacki P, Bahcevandziev K, Jarquin D, Kowalik I, Osuch A, Osuch E, Niemann J. Three-Dimensional Convolutional Neural Networks (3D-CNN) in the Classification of Varieties and Quality Assessment of Soybean Seeds (Glycine max L. Merrill). Agronomy. 2025; 15(9):2074. https://doi.org/10.3390/agronomy15092074

Rybacki, Piotr, Kiril Bahcevandziev, Diego Jarquin, Ireneusz Kowalik, Andrzej Osuch, Ewa Osuch, and Janetta Niemann. 2025. "Three-Dimensional Convolutional Neural Networks (3D-CNN) in the Classification of Varieties and Quality Assessment of Soybean Seeds (Glycine max L. Merrill)" Agronomy 15, no. 9: 2074. https://doi.org/10.3390/agronomy15092074

Rybacki, P., Bahcevandziev, K., Jarquin, D., Kowalik, I., Osuch, A., Osuch, E., & Niemann, J. (2025). Three-Dimensional Convolutional Neural Networks (3D-CNN) in the Classification of Varieties and Quality Assessment of Soybean Seeds (Glycine max L. Merrill). Agronomy, 15(9), 2074. https://doi.org/10.3390/agronomy15092074