Yuchi Ma

Position title: PhD Candidate

Email: ma286@wisc.edu

Google Scholar
Google Scholar

Research Interests

Precision Agriculture; UAV Mapping; Machine Learning & Deep Learning; Transfer Learning & Domain Adaptation

Journal Publications

  • Ma, Y., Zhang, Z., Yang, H.L. and Yang, Z., 2021. An adaptive adversarial domain adaptation approach for corn yield prediction. Computers and Electronics in Agriculture187, p.106314.
  • Ma, Y., Zhang, Z., Kang, Y. and Özdoğan, M., 2021. Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach. Remote Sensing of Environment259, p.112408.
  • Sun, C., Zhou, J., Ma, Y., Xu, Y., Pan, B. and Zhang, Z., 2022. A review of remote sensing for potato traits characterization in precision agriculture. Frontiers in Plant Science13.
  • Chen, S., Liu, W., Feng, P., Ye, T., Ma, Y. and Zhang, Z., 2022. Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield. Remote Sensing14(10), p.2340.
  • Wang, Y., Zhang, Z., Feng, L., Ma, Y. and Du, Q., 2021. A new attention-based CNN approach for crop mapping using time series Sentinel-2 images. Computers and Electronics in Agriculture184, p.106090.
  • Sun, C., Feng, L., Zhang, Z., Ma, Y., Crosby, T., Naber, M. and Wang, Y., 2020. Prediction of end-of-season tuber yield and tuber set in potatoes using in-season uav-based hyperspectral imagery and machine learning. Sensors, 20(18), p.5293.
  • Feng, L., Zhang, Z., Ma, Y., Du, Q., Williams, P., Drewry, J. and Luck, B., 2020. Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning. Remote Sensing12(12), p.2028.
  • Ma, Y., Anderson, J., Crouch, S. and Shan, J., 2019. Moving object detection and tracking with doppler LiDAR. Remote Sensing11(10), p.1154.

Conference Publications&Presentations

  • Ma, Y. and Zhang, Z., 2021, November. Multi-source Unsupervised Domain Adaptation on Corn Yield Prediction. In AI for Agriculture and Food Systems. Oral Presentation
  • Ma, Y., Kang, Y., Ozdogan, M., and Zhang. Z., 2019. County-level corn yield prediction using deep transfer learning, AGU Fall Meeting Abstracts 2019. Oral Presentation
  • Zhang, Z., Ma, Y., Yang, H.L. and Yang, Z., 2021. An adaptive adversarial domain adaptation approach for corn yield prediction. AGU Fall Meeting Abstracts 2021.
  • Zhang, Z., Feng, L., Ma, Y., Du, Q., Williams, P., Drewry, J. and Luck, B., 2021. Alfalfa Nutritive Value Prediction Using UAV-Based Hyperspectral Imagery and Multi-task Learning. AGU Fall Meeting Abstracts 2021.

Journal Reviewer

  • Frontiers in Plant Science 
  • Plant Methods 
  • PLOS One
  • Cybernetics and Systems
  • Concurrency and Computation
  • Artificial Intelligence in Agriculture
  • Journal of the ASABE
  • Earth Science Informatics