Tea Garden Landscape Recognition Dataset

In the current agricultural sector, managing and monitoring tea gardens faces many challenges, such as the impact of environmental changes on tea tree growth and the timely detection of pests and diseases. Existing solutions often rely on manual inspections, which are not only time-consuming but also prone to omissions. To improve the efficiency and accuracy of tea garden management, this dataset aims to help farmers quickly identify the health status and potential problems of tea gardens through image classification technology. The dataset is constructed by using high-resolution cameras to capture tea garden scenes in different climates and growth stages, and it undergoes multiple rounds of annotation and expert review to ensure consistency and accuracy. The data is stored in JPG format and organized in a folder structure for easy model training and testing.