Shuaibing Liu: Plant Physiology First Author

Shuaibing Liu, co-first author of “Estimating leaf area index using unmanned aerial vehicle data: Shallow vs. deep machine learning algorithms”

Current Position: Ph.D Candidate, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

Education: B.E. & M.E in School of Surveying and Land Information Engineering, Henan Polytechnic University, Henan, China.

Non-scientific Interests: Guitar, badminton.

Brief bio: I completed my B.S. & M.E at the Henan Polytechnic University in 2016 & 2019. After graduation, I studied for a Ph.D in the school of remote sensing information engineering, Wuhan university, majoring in electronics and information. My main research direction is the field crop phenotypic monitoring and growth estimation research on the UAV high-throughput phenotyping platform. Under the direction of Prof. Jin, we have constructed a multi-source remote sensing field phenotypic observation platform for UAV. The visible, multispectral and thermal infrared UAV images were constructed into multimodal data sets, and the maize LAI was estimated in different machine learning models. The effects of field environmental factors and maize canopy reproduction on the evaluation of LAI should also be considered. We found that the maize canopy thermal information provided by thermal infrared images could improve the accuracy of LAI estimation. This work provided new insights and ideas for monitoring crop growth by multi-source remote sensing in the field.