Grass Maturity Detection Dataset

The current agricultural industry faces challenges such as insufficient crop growth monitoring and inaccurate maturity assessments, leading to unmet crop yield and quality assurance. Existing monitoring methods often rely on manual observation, which is inefficient and prone to errors. This dataset aims to address the shortcomings of object detection technology in agricultural applications by providing high-quality grass maturity images, meeting the needs of farmers and agricultural managers for precision agriculture. Data is primarily collected using high-resolution cameras in natural environments to ensure diversity and representativeness of the samples. Quality control measures such as multiple rounds of annotation, expert review, and consistency checks are implemented to ensure annotation accuracy. Data is stored in JPG format, organized by image ID and relevant annotation information.