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README.md

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+# 📦 Cardamom Quality Grading with Computer Vision (YOLOv8)
 
+This Hugging Face model is trained on our **Cardamom Quality Grading** dataset, designed to automatically assess the quality of cardamom spice using computer vision techniques.
+
+---
+
+## 🎯 Model Purpose
+
+The model performs **quality grading** on cardamom, classifying it into defined categories using YOLOv8. It's ideal for researchers and practitioners in:
+
+- Agricultural automation
+- Food quality control
+- Computer vision in agritech
+
+---
+
+## 📖 Dataset & Reference
+
+This work is based on the research paper:
+
+**Computer Vision Technique for Quality Grading of Cardamom Spice**  
+Ahamed Ahnaf, Mohamed Rafeek, A. R. M. Nizzad, Nazaar Fathima Mafaza  
+*2025 International Research Conference on Smart Computing and Systems Engineering (SCSE)*  
+DOI: [10.1109/SCSE65633.2025.11031046](https://doi.org/10.1109/SCSE65633.2025.11031046)
+
+---
+
+## 📌 Citation
+
+If you use this model or dataset in your work, please cite our publication:
+
+```bibtex
 @INPROCEEDINGS{11031046,
-  author={Ahamed Ahnaf, Mohamed Rafeek and Nizzad, A. R. M. and Mafaza, Nazaar Fathima},
-  booktitle={2025 International Research Conference on Smart Computing and Systems Engineering (SCSE)}, 
-  title={Computer Vision Technique for Quality Grading of Cardamom Spice}, 
+  author={Ahamed Ahnaf and Mohamed Rafeek and A. R. M. Nizzad and Nazaar Fathima Mafaza},
+  booktitle={2025 International Research Conference on Smart Computing and Systems Engineering (SCSE)},
+  title={Computer Vision Technique for Quality Grading of Cardamom Spice},
   year={2025},
-  volume={},
-  number={},
   pages={1-6},
-  keywords={Training;Computer vision;Accuracy;Shape;Noise;Lighting;Streaming media;Real-time systems;Reliability;Standards;Computer Vision;Cardamom Quality Grading;Image Processing;YOLOv8;Agricultural Automation},
-  doi={10.1109/SCSE65633.2025.11031046}}
+  doi={10.1109/SCSE65633.2025.11031046}
+}
+