News

2021

  • Our group member Yuchi’s paper “Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach” was published on Remote Sensing Of Environment. Congratulations!
  • Our group member Yumiao’s paper “A new attention-based CNN approach for crop mapping using time series Sentinel-2 images” was published on Computers and Electronics in Agriculture. Congratulations!

2020

  • Our group member Chen’s paper “Prediction of end-of-season tuber yield and tuber set in potatoes using in-season uav-based hyperspectral imagery and machine learning” was published on Sensors. Congratulations!
  • Our group member Luwei’s paper “Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning” was published on Remote Sensing. Congratulations!
  • Our group member Yumiao’s paper “Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States” was published on Remote Sensing. Congratulations!

2019

  • 11/2019, Prof. Zhang joined Center for Sustainable and Global Environment at Nelson Institute as an affiliated professor.
  • 11/2019, Welcome Jonathan joined our lab as an undergraduate research assistant! We look forward to your contribution to the group.
  • 10/2019, Welcome Luwei, Chen and Yumiao joined our lab! We look forward to your contribution to the group.
  • 10/2019, Our abstract “County-level corn yield prediction using deep transfer learning” first authored by Yuchi has been accepted for an Oral Presentation at 2019 AGU Fall Meeting. Congrats Yuchi!
  • 10/2019, Our paper “An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images” has been accepted by IEEE Transaction on Geoscience and Remote Sensing.
  • 07/2019, Our paper “California Almond Yield Prediction at the Orchard Level with a Machine Learning Approach” has been published at Frontiers in Plant Science