Wang, Z.; Xu, X.; Zhang, Z.; Zhu, T.; Wang, Y.; Geng, T.; Zhu, Y.; Wan, W.; Zhang, X.; Jin, X.;
et al. Parameter Prediction and Optimisation of Working Element Parameters for a Novel Tracked Multi-Axis in Situ Soil Remediation Device Based on Machine Learning Algorithms. Agriculture 2026, 16, 1292.
https://doi.org/10.3390/agriculture16121292
AMA Style
Wang Z, Xu X, Zhang Z, Zhu T, Wang Y, Geng T, Zhu Y, Wan W, Zhang X, Jin X,
et al. Parameter Prediction and Optimisation of Working Element Parameters for a Novel Tracked Multi-Axis in Situ Soil Remediation Device Based on Machine Learning Algorithms. Agriculture. 2026; 16(12):1292.
https://doi.org/10.3390/agriculture16121292
Chicago/Turabian Style
Wang, Zhipeng, Xuemeng Xu, Zhongwei Zhang, Tong Zhu, Youzhao Wang, Tie Geng, Yaonan Zhu, Weiqiang Wan, Xiaopeng Zhang, Xiaoyan Jin,
and et al. 2026. "Parameter Prediction and Optimisation of Working Element Parameters for a Novel Tracked Multi-Axis in Situ Soil Remediation Device Based on Machine Learning Algorithms" Agriculture 16, no. 12: 1292.
https://doi.org/10.3390/agriculture16121292
APA Style
Wang, Z., Xu, X., Zhang, Z., Zhu, T., Wang, Y., Geng, T., Zhu, Y., Wan, W., Zhang, X., Jin, X., Yang, G., & Zou, Z.
(2026). Parameter Prediction and Optimisation of Working Element Parameters for a Novel Tracked Multi-Axis in Situ Soil Remediation Device Based on Machine Learning Algorithms. Agriculture, 16(12), 1292.
https://doi.org/10.3390/agriculture16121292
