Deep learning based stacking ensembles for tropical sorghum classification

Subtle morphological differences among sorghum varieties make varietal identification difficult in breeding and seed production, increasing the risk of contamination, reduced grain quality, and challenges in maintaining seed purity for farmers. This research integrates deep learning with a stacking...

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מידע ביבליוגרפי

Principais autores:	Muhammad Aqil, Muhammad Azrai, Roy Efendi, Nining Nurini Andayani, Suwardi, Bunyamin Zainuddin, Suarni, Herawati, Andi Irma Damayanti, Muhammad Jihad, Syafruddin, Ramlah Arief, Paesal, Yustisia, Rahman
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2025-06-01
סדרה:	Journal of Agriculture and Food Research
נושאים:	Machine learning VGG-Net DenseNet-121 Squeeze-net ResNet-50 Sorghum
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S2666154325003023
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