APA (7th ed.) Citation

Yang, Q., Shi, L., Han, J., Yu, J., & Huang, K. (2020). A near real-time deep learning approach for detecting rice phenology based on UAV images. Agricultural and forest meteorology, 287, 107938. https://doi.org/10.1016/j.agrformet.2020.107938

Chicago Style (17th ed.) Citation

Yang, Qi, Liangsheng Shi, Jingye Han, Jin Yu, and Kai Huang. "A Near Real-time Deep Learning Approach for Detecting Rice Phenology Based on UAV Images." Agricultural and Forest Meteorology 287 (2020): 107938. https://doi.org/10.1016/j.agrformet.2020.107938.

MLA (9th ed.) Citation

Yang, Qi, et al. "A Near Real-time Deep Learning Approach for Detecting Rice Phenology Based on UAV Images." Agricultural and Forest Meteorology, vol. 287, 2020, p. 107938, https://doi.org/10.1016/j.agrformet.2020.107938.