| Droplet distributions in cotton harvest aid applications vary with the interactions among the unmanned aerial vehicle spraying parameters P Chen, F Ouyang, G Wang, H Qi, W Xu, W Yang, Y Zhang, Y Lan Industrial Crops and Products 163, 113324, 2021 | 56 | 2021 |
| Early detection of bacterial wilt in peanut plants through leaf-level hyperspectral and unmanned aerial vehicle data T Chen, W Yang, H Zhang, B Zhu, R Zeng, X Wang, S Wang, L Wang, ... Computers and Electronics in Agriculture 177, 105708, 2020 | 53 | 2020 |
| Hyperspectral inversion model of chlorophyll content in peanut leaves H Qi, B Zhu, L Kong, W Yang, J Zou, Y Lan, L Zhang Applied sciences 10 (7), 2259, 2020 | 42 | 2020 |
| Establishing a model to predict the single boll weight of cotton in northern Xinjiang by using high resolution UAV remote sensing data W Xu, W Yang, S Chen, C Wu, P Chen, Y Lan Computers and Electronics in Agriculture 179, 105762, 2020 | 27 | 2020 |
| Determining application volume of unmanned aerial spraying systems for cotton defoliation using remote sensing images P Chen, W Xu, Y Zhan, G Wang, W Yang, Y Lan Computers and Electronics in Agriculture 196, 106912, 2022 | 19 | 2022 |
| Cotton hail disaster classification based on drone multispectral images at the flowering and boll stage W Yang, W Xu, C Wu, B Zhu, P Chen, L Zhang, Y Lan Computers and Electronics in Agriculture 180, 105866, 2021 | 19 | 2021 |
| Quantification of Physiological Parameters of Rice Varieties Based on Multi-Spectral Remote Sensing and Machine Learning Models S Liu, B Zhang, W Yang, T Chen, H Zhang, Y Lin, J Tan, X Li, Y Gao, ... remote sensing 15 (2), 453, 2023 | 12 | 2023 |
| Evaluation of cotton defoliation rate and establishment of spray prescription map using remote sensing imagery P Chen, W Xu, Y Zhan, W Yang, J Wang, Y Lan Remote Sensing 14 (17), 4206, 2022 | 11 | 2022 |
| Cotton fiber quality estimation based on machine learning using time series UAV remote sensing data W Xu, W Yang, P Chen, Y Zhan, L Zhang, Y Lan Remote Sensing 15 (3), 586, 2023 | 8 | 2023 |
| Canopy laser interception compensation mechanism—UAV LiDAR precise monitoring method for cotton height W Xu, W Yang, J Wu, P Chen, Y Lan, L Zhang Agronomy 13 (10), 2584, 2023 | 6 | 2023 |
| Investigating the impact of hyperspectral reconstruction techniques on the quantitative inversion of rice physiological parameters: a case study using the MST++ model W Yang, B Zhang, W Xu, S Liu, Y Lan, L Zhang Journal of Integrative Agriculture, 2024 | 5 | 2024 |
| GEE-Based monitoring method of key management nodes in cotton production W Yang, W Xu, K Yan, Z Cui, P Chen, L Zhang, Y Lan International Journal of Digital Earth 16 (1), 1907-1922, 2023 | 3 | 2023 |
| Severity Assessment of Cotton Canopy Verticillium Wilt by Machine Learning Based on Feature Selection and Optimization Algorithm Using UAV Hyperspectral Data W Li, Y Guo, W Yang, L Huang, J Zhang, J Peng, Y Lan Remote Sensing 16 (24), 4637, 2024 | 2 | 2024 |
| Enhanced visual detection of litchi fruit in complex natural environments based on unmanned aerial vehicle (UAV) remote sensing C Liang, J Liang, W Yang, W Ge, J Zhao, Z Li, S Bai, J Fan, Y Lan, Y Long Precision Agriculture 26 (1), 23, 2025 | | 2025 |
| Three-dimensional fluorescence spectral characteristic of flavonoids for citrus Huanglongbing disease early detection K Yan, X Lu, J Xiao, X Song, X Xu, J Guo, W Yang, Y Zhang, Y Lan Microchemical Journal 208, 112263, 2025 | | 2025 |
| Comparative Evaluation of the Performance of the PTD and CSF Algorithms on UAV LiDAR Data for Dynamic Canopy Height Modeling in Densely Planted Cotton W Yang, J Wu, W Xu, H Li, X Li, Y Lan, Y Li, L Zhang Agronomy 14 (4), 856, 2024 | | 2024 |
| 探究高光谱重建技术对水稻生理参数定量反演的影响: 使用 MST++ 模型的案例研究 W Yang, B Zhang, W Xu, S Liu, Y Lan, L Zhang Journal of Integrative Agriculture, 0, 0 | | |
