Field Rice Disease and Pest Dataset

The dataset was rigorously partitioned at the "capture-session" level to prevent temporal and spatial data leakage between the training and validation subsets.Categories (6 Classes): 0: Rice Leaf Roller 1: Rice Water Weevil 2: Rice Leafhopper 3: Bacterial Blight 4: Brown Spot 5: Rice BlastAnnotation Format: The annotations are provided in standard YOLO flat-text format (.txt). Each text file contains bounding box coordinates normalized as:Mandatory

Citation

Policy: If you use this dataset in your academic research, industrial applications, or publications, you MUST cite our foundational manuscript. Please cite the following preprint (or its subsequent peer-reviewed journal version):Zhu, H., Luo, X., Zeng, Y., Tan, W., Zeng, Q., & Qian, H. (2025). Lightweight State-Space YOLO for Field Rice Disease and Pest Detection: Statistical Evaluation, Robustness Analysis, and Edge-NPU Deployment.

Research Square. DOI: doi.org/10.21203/rs.3.rs-9928737/v1</p>