Deep learning feasibility study for automated clove quality classification using CNN architectures on a novel Zanzibar dataset. AI for East Africa Conference (AI4EAC) 2026, Kigali, Rwanda.
-
Updated
Apr 7, 2026
Deep learning feasibility study for automated clove quality classification using CNN architectures on a novel Zanzibar dataset. AI for East Africa Conference (AI4EAC) 2026, Kigali, Rwanda.
Official benchmark dataset and code for clove quality grading using classical texture features and fine-tuned deep models. CVPR 2026, Vision for Agriculture (V4A) Workshop.
Add a description, image, and links to the clove-grading topic page so that developers can more easily learn about it.
To associate your repository with the clove-grading topic, visit your repo's landing page and select "manage topics."