Soybean Seed Classification with Fusion of Convolutional Neural Networks and ViT Technique
Authors: Ghazwan Hani Hussien, Ahmed Khalaf Zager Alsaedi, Abdul Hakim Moawia Dreheeb
Journal: Global Journal of Engineering and Technology Review (GJETR)
Published: 2026-02-05 · Volume 2, Issue 02, pp. 48-53
DOI: 10.65150/EP-gjetr/V2E2/2026-03
Abstract
This study proposes a fusion approach combining Convolutional Neural Networks and Vision Transformer techniques for soybean seed classification, achieving improved accuracy in agricultural quality assessment.
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