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...

Popoln opis

Bibliografske podrobnosti

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
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-06-01
Serija:	Journal of Agriculture and Food Research
Teme:	Machine learning VGG-Net DenseNet-121 Squeeze-net ResNet-50 Sorghum
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2666154325003023
Oznake:	Označite Brez oznak, prvi označite!