Supervised learning study on ground classification and state recognition of agricultural robots based on multi-source vibration data fusion.

MLA

Guo, Jianbo, et al. “Supervised Learning Study on Ground Classification and State Recognition of Agricultural Robots Based on Multi-Source Vibration Data Fusion.” Computers & Electronics in Agriculture, vol. 219, Apr. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.compag.2024.108791.

APA

Guo, J., Wang, S., Mao, Y., Wang, G., Wu, G., Wu, Y., & Liu, Z. (2024). Supervised learning study on ground classification and state recognition of agricultural robots based on multi-source vibration data fusion. Computers & Electronics in Agriculture, 219, N.PAG. https://doi.org/10.1016/j.compag.2024.108791

Chicago

Guo, Jianbo, Shuai Wang, Yiwei Mao, Guoqiang Wang, Guohua Wu, Yewei Wu, and Zhengbin Liu. 2024. “Supervised Learning Study on Ground Classification and State Recognition of Agricultural Robots Based on Multi-Source Vibration Data Fusion.” Computers & Electronics in Agriculture 219 (April): N.PAG. doi:10.1016/j.compag.2024.108791.