Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning.

MLA

Bellis, Emily S., et al. “Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning.” Frontiers in Plant Science, vol. 13, Mar. 2022, p. 716506. EBSCOhost, https://doi.org/10.3389/fpls.2022.716506.

APA

Bellis, E. S., Hashem, A. A., Causey, J. L., Runkle, B. R. K., Moreno-García, B., Burns, B. W., Green, V. S., Burcham, T. N., Reba, M. L., & Huang, X. (2022). Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning. Frontiers in Plant Science, 13, 716506. https://doi.org/10.3389/fpls.2022.716506

Chicago

Bellis, Emily S, Ahmed A Hashem, Jason L Causey, Benjamin R K Runkle, Beatriz Moreno-García, Brayden W Burns, V Steven Green, Timothy N Burcham, Michele L Reba, and Xiuzhen Huang. 2022. “Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning.” Frontiers in Plant Science 13 (March): 716506. doi:10.3389/fpls.2022.716506.