| Crop phenomics and high-throughput phenotyping: past decades, current challenges, and future perspectives W Yang, H Feng, X Zhang, J Zhang, JH Doonan, WD Batchelor, L Xiong, ... Molecular plant 13 (2), 187-214, 2020 | 738 | 2020 |
| Detection of rice sheath blight using an unmanned aerial system with high-resolution color and multispectral imaging D Zhang, X Zhou, J Zhang, Y Lan, C Xu, D Liang PloS one 13 (5), e0187470, 2018 | 168 | 2018 |
| Crop height estimation based on UAV images: Methods, errors, and strategies T Xie, J Li, C Yang, Z Jiang, Y Chen, L Guo, J Zhang Computers and Electronics in Agriculture 185, 106155, 2021 | 85 | 2021 |
| Rapeseed seedling stand counting and seeding performance evaluation at two early growth stages based on unmanned aerial vehicle imagery B Zhao, J Zhang, C Yang, G Zhou, Y Ding, Y Shi, D Zhang, J Xie, Q Liao Frontiers in Plant Science 9, 1362, 2018 | 81 | 2018 |
| Evaluation of an airborne remote sensing platform consisting of two consumer-grade cameras for crop identification J Zhang, C Yang, H Song, WC Hoffmann, D Zhang, G Zhang Remote Sensing 8 (3), 257, 2016 | 62 | 2016 |
| Retrieval of rapeseed leaf area index using the PROSAIL model with canopy coverage derived from UAV images as a correction parameter B Sun, C Wang, C Yang, B Xu, G Zhou, X Li, J Xie, S Xu, B Liu, T Xie, ... International journal of applied earth observation and geoinformation 102 …, 2021 | 58 | 2021 |
| Combining UAV‐RGB high‐throughput field phenotyping and genome‐wide association study to reveal genetic variation of rice germplasms in dynamic response to drought stress Z Jiang, H Tu, B Bai, C Yang, B Zhao, Z Guo, Q Liu, H Zhao, W Yang, ... New Phytologist 232 (1), 440-455, 2021 | 57 | 2021 |
| Segmenting purple rapeseed leaves in the field from UAV RGB imagery using deep learning as an auxiliary means for nitrogen stress detection J Zhang, T Xie, C Yang, H Song, Z Jiang, G Zhou, D Zhang, H Feng, J Xie Remote Sensing 12 (9), 1403, 2020 | 56 | 2020 |
| Assessing the Effect of Real Spatial Resolution of In Situ UAV Multispectral Images on Seedling Rapeseed Growth Monitoring J Zhang, C Wang, C Yang, T Xie, Z Jiang, T Hu, Z Luo, G Zhou, J Xie remote sensing 12, 1207, 2020 | 52 | 2020 |
| Comparison of mosaicking techniques for airborne images from consumer-grade cameras H Song, C Yang, J Zhang, WC Hoffmann, D He, JA Thomasson Journal of Applied Remote Sensing 10 (1), 016030-016030, 2016 | 40 | 2016 |
| Rapeseed stand count estimation at leaf development stages with UAV imagery and convolutional neural networks J Zhang, B Zhao, C Yang, Y Shi, Q Liao, G Zhou, C Wang, T Xie, Z Jiang, ... Frontiers in plant science 11, 617, 2020 | 35 | 2020 |
| Crop classification and LAI estimation using original and resolution-reduced images from two consumer-grade cameras J Zhang, C Yang, B Zhao, H Song, W Clint Hoffmann, Y Shi, D Zhang, ... Remote Sensing 9 (10), 1054, 2017 | 25 | 2017 |
| Image dehazing based on dark channel prior and brightness enhancement for agricultural remote sensing images from consumer-grade cameras J Zhang, X Wang, C Yang, J Zhang, D He, H Song Computers and Electronics in Agriculture 151, 196-206, 2018 | 22 | 2018 |
| Spatial interpolation of precipitation considering geographic and topographic influences-A case study in the Poyang Lake Watershed, china W Gan, X Chen, X Cai, J Zhang, L Feng, X Xie 2010 IEEE International Geoscience and Remote Sensing Symposium, 3972-3975, 2010 | 18 | 2010 |
| Evaluation of a UAV-mounted consumer grade camera with different spectral modifications and two handheld spectral sensors for rapeseed growth monitoring: performance and … J Zhang, C Wang, C Yang, Z Jiang, G Zhou, B Wang, Y Shi, D Zhang, ... Precision Agriculture 21, 1092-1120, 2020 | 17 | 2020 |
| Comparison between the Effects of Visible Light and Multispectral Sensor Based on Low-Altitude Remote Sensing Platform in the Evaluation of Rice Sheath Blight XJ Zhao X, Zhang J*, Zhang D, Zhou X, Liu X Spectroscopy and Spectral Analysis 39 (4), 1192-1198, 2019 | 16 | 2019 |
| A novel composite vegetation index including solar-induced chlorophyll fluorescence for seedling rapeseed net photosynthesis rate retrieval J Zhang, B Sun, C Yang, C Wang, Y You, G Zhou, B Liu, C Wang, J Kuai, ... Computers and Electronics in Agriculture 198, 107031, 2022 | 12 | 2022 |
| Image dehazing based on dark channel prior and brightness enhancement for agricultural monitoring X Wang, C Yang, J Zhang, H Song International Journal of Agricultural and Biological Engineering 11 (2), 170-176, 2018 | 12 | 2018 |
| Registration for optical multimodal remote sensing images based on FAST detection, window selection, and histogram specification X Zhao, J Zhang, C Yang, H Song, Y Shi, X Zhou, D Zhang, G Zhang Remote Sensing 10 (5), 663, 2018 | 10 | 2018 |
| Seedlings number identification of rape planter based on low altitude unmanned aerial vehicles remote sensing technology B Zhao, Y Ding, X Cai, J Xie, Q Liao, J Zhang Transactions of the Chinese Society of Agricultural Engineering 33 (19), 115-123, 2017 | 9 | 2017 |
Yeyin ShiAssociate Professor and Agricultural Intelligence Engineer at University of Nebraska-Lincolnยืนยันอีเมลแล้วที่ unl.edu