| Spectral difference analysis and airborne imaging classification for citrus greening infected trees X Li, WS Lee, M Li, R Ehsani, AR Mishra, C Yang, RL Mangan Computers and Electronics in Agriculture 83, 32-46, 2012 | 142 | 2012 |
| Key technologies of machine vision for weeding robots: A review and benchmark Y Li, Z Guo, F Shuang, M Zhang, X Li Computers and Electronics in Agriculture 196, 106880, 2022 | 97 | 2022 |
| SLViT: Shuffle-convolution-based lightweight Vision transformer for effective diagnosis of sugarcane leaf diseases X Li, X Li, S Zhang, G Zhang, M Zhang, H Shang Journal of King Saud University-Computer and Information Sciences 35 (6), 101401, 2023 | 47 | 2023 |
| Banana fusarium wilt disease detection by supervised and unsupervised methods from UAV-based multispectral imagery S Zhang, X Li, Y Ba, X Lyu, M Zhang, M Li Remote Sensing 14 (5), 1231, 2022 | 44 | 2022 |
| Feasibility study on Huanglongbing (citrus greening) detection based on WorldView-2 satellite imagery X Li, WS Lee, M Li, R Ehsani, AR Mishra, C Yang, RL Mangan Biosystems engineering 132, 28-38, 2015 | 37 | 2015 |
| Sugarcane nitrogen concentration and irrigation level prediction based on UAV multispectral imagery X Li, Y Ba, M Zhang, M Nong, C Yang, S Zhang Sensors 22 (7), 2711, 2022 | 20 | 2022 |
| Identification and counting of sugarcane seedlings in the field using improved faster R-CNN Y Pan, N Zhu, L Ding, X Li, HH Goh, C Han, M Zhang Remote Sensing 14 (22), 5846, 2022 | 16 | 2022 |
| Prediction of N, P, and K contents in sugarcane leaves by VIS-NIR spectroscopy and modeling of NPK interaction effects C Wang, X Li, L Wang, C Yang, X Chen, M Li, S Ma Transactions of the ASABE 62 (6), 1427-1433, 2019 | 15 | 2019 |
| 柑桔黄龙病的可见-近红外光谱特征 李修华， 李民赞 Spectroscopy and Spectral Analysis 34 (6), 1553-1559, 2014 | 12 | 2014 |
| SugarcaneGAN: A novel dataset generating approach for sugarcane leaf diseases based on lightweight hybrid CNN-Transformer network X Li, X Li, M Zhang, Q Dong, G Zhang, Z Wang, P Wei Computers and Electronics in Agriculture 219, 108762, 2024 | 7 | 2024 |
| A method for detecting sucrose in living sugarcane with visible-NIR transmittance spectroscopy L Xue-gang, L Xiu-hua, Z Shi-min, Z Mu-qing, J Hong-tao Spectroscopy and Spectral Analysis 41 (12), 3747-3752, 2021 | 3 | 2021 |
| 智能手机 RGB 图像检测植物叶片叶绿素含量的方法. 李修华， 卢显杰， 奚金阳， 张云皓， 张木清 Transactions of the Chinese Society of Agricultural Engineering 37 (22), 2021 | 2 | 2021 |
| Urban Water Absorbance to Predict Chlorophyll a and Turbidity CAO Ya-Nan, LI Xiu-Hua, MA Shao-Dui, AI Jiao-Yan, ZHU Hong-Xiang 2018 International Conference on Energy Development and Environmental …, 2018 | 2 | 2018 |
| Spectral characteristics analysis and chlorophyll content detection of sugarcane leaves under different fertilizer treatments L Xiuhua, C Xiao, Z Yonghua, N Mengling, L Xiaoyang, A Jiaoyan Trans. Chin. Soc. Agric. Eng 31 (2), 118-123, 2015 | 2 | 2015 |
| 基于 Kinect V3 深度传感器的田间植株点云配准方法. 李修华， 魏鹏， 何嘉西， 李民赞， 张木清， 温标堂 Transactions of the Chinese Society of Agricultural Engineering 37 (21), 2021 | 1 | 2021 |
| Development of a wireless crop growth monitor based on optical principle X Li, M Li, D Cui 2008 International Conference on Optical Instruments and Technology …, 2009 | 1 | 2009 |
| Canopy Center and Plant Quantity Detection of Sugarcane Based on Aerial Visible Images L Wang, X Li, C Wang, Y Zhou, C Yang, J Ai 2018 ASABE Annual International Meeting, 1, 2018 | | 2018 |