A dataset of manually observed phenological phase images of major grain, cotton, and oil crops in China

This dataset is classified according to agricultural biological observation objects, with their growth and development process as the main line, and physical images that can intuitively reflect the physiological structure and morphological characteristics of different growth stages of agricultural organisms as the core. It systematically displays the operational standards and technical methods for agricultural meteorological crop phenology observation.

It can help observers quickly, accurately, and comprehensively learn agricultural meteorological observation techniques in a short period of time, thereby improving the overall ability, level, and quality of agricultural meteorological observation. This dataset can also provide the study of agricultural production strategies to cope with climate change. It also has important reference value for the research and training of agricultural meteorological artificial observation technology, as well as popular science education on crop phenology periods.