Cite
Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images.
MLA
Dananjayan, Sathian, et al. “Assessment of State-of-the-Art Deep Learning Based Citrus Disease Detection Techniques Using Annotated Optical Leaf Images.” Computers & Electronics in Agriculture, vol. 193, Feb. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.compag.2021.106658.
APA
Dananjayan, S., Tang, Y., Zhuang, J., Hou, C., & Luo, S. (2022). Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images. Computers & Electronics in Agriculture, 193, N.PAG. https://doi.org/10.1016/j.compag.2021.106658
Chicago
Dananjayan, Sathian, Yu Tang, Jiajun Zhuang, Chaojun Hou, and Shaoming Luo. 2022. “Assessment of State-of-the-Art Deep Learning Based Citrus Disease Detection Techniques Using Annotated Optical Leaf Images.” Computers & Electronics in Agriculture 193 (February): N.PAG. doi:10.1016/j.compag.2021.106658.