Ethan0300/Strawberry_12-dataset

🍓 Strawberry_12 Dataset

Strawberry_12 is a large-scale image dataset created for detecting strawberry diseases, pests, and nutrient deficiencies. It is designed to support research in smart agriculture, plant health diagnostics, and AI-based crop monitoring systems.

• Images: 3,906
• Annotations: 16,107 bounding boxes
• Categories: 12 (covering common diseases, pests, and deficiency symptoms)
• Annotation Format: YOLO (.txt per image with bounding boxes)
• Collection Period: April 2022 – October 2023
• Environments: Greenhouse and open-field

Citation

@INPROCEEDINGS{11343179,
  author={Hu, Yue and Jiang, Xiankun and Guan, Jianfeng},
  booktitle={2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)}, 
  title={StrawDet-YOLO: A Real-Time and High Precision Object Detection for Strawberry}, 
  year={2025},
  volume={},
  number={},
  pages={6791-6797},
  keywords={Location awareness;Smart agriculture;Accuracy;Spraying;Object detection;Nutrients;Real-time systems;Stability analysis;Monitoring;Diseases},
  doi={10.1109/SMC58881.2025.11343179}}