| Alfalfa yield prediction using UAV-based hyperspectral imagery and ensemble learning L Feng, Z Zhang, Y Ma, Q Du, P Williams, J Drewry, B Luck Remote Sensing 12 (12), 2028, 2020 | 185 | 2020 |
| Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach Y Ma, Z Zhang, Y Kang, M Özdoğan Remote Sensing of Environment 259, 112408, 2021 | 136 | 2021 |
| Combining multi-source data and machine learning approaches to predict winter wheat yield in the conterminous United States Y Wang, Z Zhang, L Feng, Q Du, T Runge Remote Sensing 12 (8), 1232, 2020 | 120 | 2020 |
| An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation Z Zhang, E Pasolli, MM Crawford, JC Tilton IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 94 | 2016 |
| Ensemble-based cascaded constrained energy minimization for hyperspectral target detection R Zhao, Z Shi, Z Zou, Z Zhang Remote Sensing 11 (11), 1310, 2019 | 92 | 2019 |
| California Almond Yield Prediction at the Orchard Level With a Machine Learning Approach Z Zhang, Y Jin, B Chen, P Brown Frontiers in Plant Science 10, 809, 2019 | 80 | 2019 |
| Automated ortho-rectification of UAV-based hyperspectral data over an agricultural field using frame RGB imagery A Habib, Y Han, W Xiong, F He, Z Zhang, M Crawford Remote Sensing 8 (10), 796, 2016 | 79 | 2016 |
| A new attention-based CNN approach for crop mapping using time series Sentinel-2 images Y Wang, Z Zhang, L Feng, Y Ma, Q Du Computers and electronics in agriculture 184, 106090, 2021 | 77 | 2021 |
| Geographically and temporally weighted neural network for winter wheat yield prediction L Feng, Y Wang, Z Zhang, Q Du Remote Sensing of Environment 262, 112514, 2021 | 63 | 2021 |
| Boresight calibration of GNSS/INS-assisted push-broom hyperspectral scanners on UAV platforms A Habib, T Zhou, A Masjedi, Z Zhang, JE Flatt, M Crawford IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 58 | 2018 |
| Prediction of end-of-season tuber yield and tuber set in potatoes using in-season UAV-based hyperspectral imagery and machine learning C Sun, L Feng, Z Zhang, Y Ma, T Crosby, M Naber, Y Wang Sensors 20 (18), 5293, 2020 | 48 | 2020 |
| An adaptive multiview active learning approach for spectral–spatial classification of hyperspectral images Z Zhang, E Pasolli, MM Crawford IEEE Transactions on Geoscience and Remote Sensing 58 (4), 2557-2570, 2019 | 41 | 2019 |
| Prediction of sorghum biomass based on image based features derived from time series of UAV images Z Zhang, A Masjedi, J Zhao, MM Crawford 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 41 | 2017 |
| An adaptive adversarial domain adaptation approach for corn yield prediction Y Ma, Z Zhang, HL Yang, Z Yang Computers and Electronics in Agriculture 187, 106314, 2021 | 34 | 2021 |
| A least mean square based active disturbance rejection control for an inertially stabilized platform C Bai, Z Zhang Optik-International Journal for Light and Electron Optics 174, 609-622, 2018 | 32 | 2018 |
| Do game data generalize well for remote sensing image segmentation? Z Zou, T Shi, W Li, Z Zhang, Z Shi Remote Sensing 12 (2), 275, 2020 | 30 | 2020 |
| A batch-mode regularized multimetric active learning framework for classification of hyperspectral images Z Zhang, MM Crawford IEEE Transactions on Geoscience and Remote Sensing 55 (11), 6594-6609, 2017 | 28 | 2017 |
| Multitask learning of alfalfa nutritive value from UAV-based hyperspectral images L Feng, Z Zhang, Y Ma, Y Sun, Q Du, P Williams, J Drewry, B Luck IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 24 | 2021 |
| Estimation of maize yield and flowering time using multi-temporal UAV-based hyperspectral data J Fan, J Zhou, B Wang, N de Leon, SM Kaeppler, DC Lima, Z Zhang Remote Sensing 14 (13), 3052, 2022 | 21 | 2022 |
| Instance segmentation method for weed detection using UAV imagery in soybean fields B Xu, J Fan, J Chao, N Arsenijevic, R Werle, Z Zhang Computers and Electronics in Agriculture 211, 107994, 2023 | 20 | 2023 |
Yuchi MaPhD, Stanford University; UW-Madison; Purdue University在 stanford.edu 的电子邮件经过验证
