A new preprint on active learning for soil sensor placement is available

A preprint on physics-constrained active learning for soil moisture estimation and optimal sensor placement is available here. This is a collaborative work with Prof. Bing Yao from University of Tennessee, Knoxville and Prof. Jianxin Xie from University of Virginia.




Enjoy Reading This Article?

Here are some more articles you might like to read next:

  • CLAMS publishes findings on breakthrough soil moisture monitoring
  • Our research is featured in OSU's IMPACT 2025 Magazine
  • Dr. Zheyu Jiang awarded prestigious NSF CAREER Award
  • CLAMS receives funding from OCAST to develop new fault detection algorithms for online monitoring of industrial distillation
  • CLAMS receives funding from NSF to develop new optimization paradigms to facilitate industrial decarbonization and clean energy integration