Jiating Li

Jiating is originally from Southeast China and completed her undergraduate studies at Zhejiang University. In 2017, she went to the University of Nebraska-Lincoln, where she spent six years and earned her MSc in 2019 and PhD in 2023. Before joining the University of Manitoba, Jiating did a year of postdoctoral research at the University of Illinois Urbana-Champaign.

Area

Precision and digital agriculture
High-throughput plant phenotyping
Agricultural automation and robotics
Physics-guided AI

Expertise

Remote and proximal sensing (unmanned aerial systems, cable-suspended phenotyping/imaging systems)
Optical imaging (RGB. multispectral, hyperspectral, thermal)
2D/3D data processing
Artificial Intelligence (convolutional neural network, LSTM, Gaussian process regression, etc.)
Physics-based model (radiative transfer model)

Research description

Jiating Li’s research focuses on integrating cutting-edge digital technologies to advance Canadian crop and livestock production systems. These technologies include, but are not limited to, ground- and aerial-based automation systems, optical sensing, Internet-of-Things (IoTs), physics-based models and artificial intelligence (AI). Her goal is to develop robust engineering solutions for real-world agricultural challenges.

Google Scholar