Crop Drought Stress Detection Dataset

The current agricultural sector faces significant challenges due to drought impacting crop growth. Traditional monitoring methods are often inefficient and struggle to reflect the real-time crop status. Existing solutions mostly rely on manual observation, lacking efficient and accurate technological means. This dataset aims to support AI applications in identifying crop growth status under drought stress by providing images of drought-affected crops. Data is collected using drones and high-definition cameras, captured multiple times under different climate conditions and soil environments to ensure diversity and representativeness. Quality control measures include multiple rounds of annotation and expert reviews to ensure annotation consistency and accuracy. Data is stored in JPG format, organized by category and drought level.