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Yuchi Ma
Yuchi Ma
PhD, Stanford University; UW-Madison; Purdue University
在 stanford.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
1872020
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
1462021
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
772021
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
512020
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
352021
Transfer learning in environmental remote sensing
Y Ma, S Chen, S Ermon, DB Lobell
Remote Sensing of Environment 301, 113924, 2024
342024
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
252021
Moving object detection and tracking with doppler LiDAR
Y Ma, J Anderson, S Crouch, J Shan
Remote Sensing 11 (10), 1154, 2019
232019
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
142023
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
132022
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
122022
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
122022
A Bayesian domain adversarial neural network for corn yield prediction
Y Ma, Z Zhang
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
112022
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
72023
County-level corn yield prediction using deep transfer learning
Y Ma, Y Kang, M Ozdogan, Z Zhang
AGU Fall Meeting Abstracts, 2019
72019
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
72019
Multi-source unsupervised domain adaptation on corn yield prediction
Y Ma, Z Zhang
AI for Agriculture and Food Systems, 2021
62021
Self-supervised pre-training for large-scale crop mapping using Sentinel-2 time series
Y Xu, Y Ma, Z Zhang
ISPRS Journal of Photogrammetry and Remote Sensing 207, 312-325, 2024
32024
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
32023
Learning county from pixels: Corn yield prediction with attention-weighted multiple instance learning
X Wang, Y Ma, Q Huang, Z Yang, Z Zhang
arXiv preprint arXiv:2312.01001, 2023
12023
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