saaillab/zstc-clove-v1

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. # Deep Learning for Automated Clove Quality Grading: A Feasibility Study **Authors:** Patrick Vincent Ndowo, Innocent Nyalala **Affiliation:** SAAIL Lab, IIT Madras Zanzibar Campus, Tanzania **Venue:** AI for East Africa Conference (AI4EAC 2026), Kigali, Rwanda --- ## Abstract We investigate the technical feasibility of automated clove quality grading using deep learning on ZSTC-Clove-V1, a novel dataset of 5,298 single-clove images across four official commercial grades collected at the Zanzibar State Trading Corporation. ResNet18 achieves 94.46% accuracy, while VGG16 fails to converge at 31.32%, demonstrating the architectural sensitivity of specialized agricultural datasets. The paper argues that accuracy alone is insufficient; interpretable and trustworthy AI is essential for responsible deployment in East African agriculture. --- ## Key Results | Model | Accuracy | Precision | Recall | F1-Score | |---|---|---|---|---| | ResNet18 | 94.46% | 94.39% | 94.34% | 94.33% | | VGG16 | 31.32% | 9.81% | 31.32% | 14.94% | --- ## Dataset ZSTC-Clove-V1 contains 5,298 high-resolution single-clove images across four official ZSTC grades, collected at the Saateni warehouse, Unguja, Zanzibar. > Dataset download link coming soon via Zenodo. --- ## Repository Structure ``` zstc-clove-v1/ ├── data/ # Dataset placeholder ├── src/ │ ├── train.py # Training script │ ├── evaluate.py # Evaluation and metrics │ └── models/ # Model definitions ├── notebooks/ ├── requirements.txt └── README.md ``` ## Setup ```bash git clone github.com cd zstc-clove-v1 pip install -r requirements.txt ``` --- ## Citation ```bibtex @inproceedings{vincent2026deeplearning, title={Deep Learning for Automated Clove Quality Grading: A Feasibility Study Using CNN Architectures on a Novel Zanzibar Dataset}, author={Vincent Ndowo, Patrick and Nyalala, Innocent}, booktitle={AI for East Africa Conference (AI4EAC)}, a …