Spremljaj
Yuchi Ma
Yuchi Ma
PhD, Stanford University; UW-Madison; Purdue University
Preverjeni e-poštni naslov na stanford.edu - Domača stran
Naslov
Navedeno
Navedeno
Leto
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
2132020
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
1982021
Transfer learning in environmental remote sensing
Y Ma, S Chen, S Ermon, DB Lobell
Remote Sensing of Environment 301, 113924, 2024
1242024
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
1032021
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
602020
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
492021
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
302021
Moving object detection and tracking with doppler LiDAR
Y Ma, J Anderson, S Crouch, J Shan
Remote Sensing 11 (10), 1154, 2019
302019
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
252022
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
202023
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
192022
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
182022
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
162024
A Bayesian domain adversarial neural network for corn yield prediction
Y Ma, Z Zhang
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
162022
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
132023
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
82019
County-level corn yield prediction using deep transfer learning
Y Ma, Y Kang, M Ozdogan, Z Zhang
AGU Fall Meeting Abstracts, 2019
72019
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
62023
Multi-source unsupervised domain adaptation on corn yield prediction
Y Ma, Z Zhang
AI for Agriculture and Food Systems, 2022
62022
Trade-offs in agricultural outcomes across various farm sizes
C Ren, L He, Y Ma, S Reis, H Van Grinsven, SK Lam, L Rosa
Earth Critical Zone, 100007, 2024
42024
Sistem trenutno ne more izvesti postopka. Poskusite znova pozneje.
Članki 1–20