Cite
Rapid density estimation of tiny pests from sticky traps using Qpest RCNN in conjunction with UWB-UAV-based IoT framework.
MLA
Juan, Yong, et al. “Rapid Density Estimation of Tiny Pests from Sticky Traps Using Qpest RCNN in Conjunction with UWB-UAV-Based IoT Framework.” Neural Computing & Applications, vol. 36, no. 17, June 2024, pp. 9779–803. EBSCOhost, https://doi.org/10.1007/s00521-023-09230-4.
APA
Juan, Y., Ke, Z., Chen, Z., Zhong, D., Chen, W., & Yin, L. (2024). Rapid density estimation of tiny pests from sticky traps using Qpest RCNN in conjunction with UWB-UAV-based IoT framework. Neural Computing & Applications, 36(17), 9779–9803. https://doi.org/10.1007/s00521-023-09230-4
Chicago
Juan, Yong, Ziyi Ke, Ziqiang Chen, Debiao Zhong, Weifeng Chen, and Liang Yin. 2024. “Rapid Density Estimation of Tiny Pests from Sticky Traps Using Qpest RCNN in Conjunction with UWB-UAV-Based IoT Framework.” Neural Computing & Applications 36 (17): 9779–9803. doi:10.1007/s00521-023-09230-4.