Emmanuel-Acquah/g-yolov8-msv-ghana
Domain:
agricultureRecord type:
model
Creator:
Emm
Host:
# G-YOLOv8: Ghost-Engineered YOLOv8 for Real-Time Maize Streak Virus Detection in Ghanaian Smallholder Farms
## Project Summary
This repository accompanies the research proposal *"A Lightweight YOLOv8-GhostNet Architecture for Real-Time Maize Streak Virus Detection in Ghanaian Smallholder Farms"* (Emmanuel Acquah, KNUST, 2026).
G-YOLOv8 replaces standard backbone convolutions in YOLOv8 with GhostNet Ghost modules ([S]-REPLACE engineering operation, Han et al., 2020), targeting real-time, on-device Maize Streak Virus (MSV) detection on resource-constrained mobile hardware common in Ghanaian smallholder farming contexts. A post-hoc SHAP explainability layer (Lundberg & Lee, 2017) audits the model's spatial reasoning.
## Planned Repository Structure
```
g-yolov8-msv-ghana/
├── README.md
├── requirements.txt
├── data/
│ ├── public/ # Filtered/relabeled subset of the Roboflow Maize-diseases corpus
│ └── field/ # Primary field-validation set (post-ethics clearance)
├── notebooks/
│ ├── 01_baseline_yolov8.ipynb # Phase 1: locked baseline (never modified after first run)
│ ├── 02_gyolov8_engineering.ipynb # Phase 2: G-YOLOv8 construction
│ └── 03_evaluation_shap.ipynb # Phase 3: comparison, Wilcoxon test, SHAP attribution
├── models/
│ └── checkpoints/ # Mirrored to Google Drive / Kaggle Dataset output (see Section 4D)
└── results/
└── comparison_tables/
```
## Dataset
- **Public baseline:** Maize-diseases (Roboflow Universe), EnochGrahamWS, CC BY 4.0.
universe.roboflow.com
- **Primary field set:** Collected post-CHRPE ethics clearance (KNUST), minimum 150 images across ≥3 farm plots.
## Status
This repository is created ahead of data collection and training, per the project's Phase 0 (reproducible environment setup). Code will be committed incrementally as each phase (baseline → engineering → evaluation) is completed, per the timeline in Section 10 of the proposal.
## Cit …