| 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 | 169 | 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 | 124 | 2021 |
| 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 | 70 | 2021 |
| 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 | 42 | 2020 |
| 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 | 31 | 2021 |
| 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 |
| Moving object detection and tracking with doppler LiDAR Y Ma, J Anderson, S Crouch, J Shan Remote Sensing 11 (10), 1154, 2019 | 22 | 2019 |
| Multisource maximum predictor discrepancy for unsupervised domain adaptation on corn yield prediction Y Ma, Z Yang, Z Zhang IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023 | 13 | 2023 |
| Improving spatial disaggregation of crop yield by incorporating machine learning with multisource data: A case study of Chinese maize yield S Chen, W Liu, P Feng, T Ye, Y Ma, Z Zhang Remote Sensing 14 (10), 2340, 2022 | 13 | 2022 |
| A Bayesian domain adversarial neural network for corn yield prediction Y Ma, Z Zhang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 12 | 2022 |
| Transfer learning in environmental remote sensing Y Ma, S Chen, S Ermon, DB Lobell Remote Sensing of Environment 301, 113924, 2024 | 11 | 2024 |
| A review of remote sensing for potato traits characterization in precision agriculture C Sun, J Zhou, Y Ma, Y Xu, B Pan, Z Zhang Frontiers in Plant Science 13, 871859, 2022 | 10 | 2022 |
| A systematic study of estimating potato N concentrations using UAV-based hyper-and multi-spectral imagery J Zhou, B Wang, J Fan, Y Ma, Y Wang, Z Zhang Agronomy 12 (10), 2533, 2022 | 8 | 2022 |
| County-level corn yield prediction using deep transfer learning Y Ma, Y Kang, M Ozdogan, Z Zhang AGU Fall Meeting Abstracts, 2019 | 7 | 2019 |
| Towards Uniform Point Density: Evaluation of an Adaptive Terrestrial Laser Scanner Q Li, Y Ma, J Anderson, J Curry, J Shan Remote Sensing 11 (7), 880, 2019 | 7 | 2019 |
| Multi-source unsupervised domain adaptation on corn yield prediction Y Ma, Z Zhang AI for Agriculture and Food Systems, 2022 | 5 | 2022 |
| SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution G Mai, N Lao, W Sun, Y Ma, J Song, C Meng, H Ma, J Rao, Z Li, S Ermon arXiv preprint arXiv:2310.00413, 2023 | 3 | 2023 |
| Improving the Transferability of Deep Learning Models for Crop Yield Prediction: A Partial Domain Adaptation Approach Y Ma, Z Yang, Q Huang, Z Zhang Remote Sensing 15 (18), 4562, 2023 | 2 | 2023 |
| Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression Z Cao, Y Ma, Z Zhang arXiv preprint arXiv:2211.13286, 2022 | 1 | 2022 |
| Unequal impact of climate warming on meat yields of global cattle farming W Liu, J Zhou, Y Ma, S Chen, Y Luo Communications Earth & Environment 5 (1), 65, 2024 | | 2024 |
Zhou ZhangAssociate Professor, University of Wisconsin-MadisonVerified email at wisc.edu
