Crop Growth Stage Monitoring Dataset

Current agricultural production faces the challenge of efficiently monitoring crop growth stages. Traditional methods rely on manual observation, which is not only inefficient but also prone to errors. Existing solutions mostly involve single technological approaches, lacking comprehensive data support, resulting in inaccurate monitoring results. This dataset aims to provide high-quality images for crop growth stage monitoring, addressing the need for assessing crop growth conditions through target detection technology. Data collection uses high-definition cameras in various farmland environments to ensure diversity and authenticity. The data annotation process involves multiple rounds of annotation and consistency checks, combined with expert review, to ensure the quality of data annotation. The data is stored in JPEG format, organized by folders and categorized by crop types for easy future use.