Crop Pest and Disease Classification Dataset

The current agricultural industry faces severe threats to crop yield and quality from pests and diseases. Traditional manual identification methods are inefficient and prone to errors. Existing solutions mostly rely on expert experience, lacking systematic and efficient approaches. This dataset aims to assist in the development of efficient AI models for automatic pest and disease classification by providing diverse crop pest and disease image data, addressing practical needs in agricultural production. The dataset includes images captured by professional cameras under different environments, ensuring diversity and representativeness. Quality control measures include multiple rounds of annotation, consistency checks, and expert review to ensure data accuracy and reliability. Data is stored in JPG format and structured in a database for convenient subsequent processing and analysis.