Principal Investigator

Dr. Jialin Yu

Contact Address: No. 699 Binhu Road, Fangzi District, Weifang, Shandong, China

Email: jialin.yu@pku-iaas.edu.cn

Education

May 2011— December 2014，Ph.D.,Department of Crop and Soil Sciences, University of Georgia (UGA), GA, USA

January 2009 —May 2011, MS, Department of Plant, Soil, and Entomology Sciences, University of Idaho, ID, USA

Working Experience

May 2022—Present, Principal Investigator, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China.

May 2022—Present, Principal Investigator, Peking University Institute of Advanced Agricultural Sciences, Shandong, China.

July 2021— March 2022, Research Scientist, Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas, USA. 

September 2019— June 2021, Professor (Early Promotion), Ph.D. Student Advisor, Nanjing Forestry University, College of Forestry, Nanjing, Jiangsu, China. 

October 2016—June 2019, Postdoctoral Research Associate, Department of Horticulture, University of Florida (UF), Gulf Coast Research and Education Center, Wimauma, FL, USA.

January 2015—August 2016, Postdoctoral Research Associate, Department of Crop and Soil Sciences, University of Georgia (UGA), GA, USA.

Research Interests

·         AI-basedweed detection and mapping

·         Technical development and evaluation for smart weeders

·         Developing integrated pest management solutions

Selected Publications

Dr. Jialin Yu has published over 120 peer-reviewed journal articles, filed over 30 patent applications, and has given talks at more than 50 national or international conferences.

Liu T, Jin XJ, Wang J, Chen Y, Hu CS, Yu J^*, (2023) Semi-supervised learning and attention mechanism for weed detection in wheat. Crop Protection 174:106389.

Jin XJ, McCullough PE, Liu T, Yang DY, Zhu W, Chen Y*, Yu J^*(2023) A smart sprayer for weed control in bermudagrass turf based on the herbicide weed control spectrum. Crop Protection 170:106270. https://doi.org/10.1016/j.cropro.2023.106270

Jin X, Liu T, Mccullough PE, Chen Y^*, Yu J^*(2023) Evaluation of convolutional neural networks for herbicide susceptibility-based weed detection in turf. Frontiers in Plant Science 14:289.

Zhuang J, Jin X, Chen Y, Meng W, Yu J^*,Bagavathiannan M* (2021) Drought stress impact on the performance of deep convolutional neural networks for weed detection in bahiagrass. Grass and Forage Science. https://doi.org/10.1111/gfs.12583

Jin X, Bagavathiannan M, Maity A, Chen Y^*, Yu J^*(2022) Deep learning for detecting herbicide weed control spectrum in turfgrass. Plant Method 18:94 https://doi.org/10.1186/s13007-022-00929-4

Jin X, Bagavathiannan M, Boyd N.S., Chen Y, and Yu J^*(2022) Deep learning-based smart sprayer for precision weed control in turfgrass with herbicide weed control spectrum. Pest Management Science. https://doi.org/10.1186/s13007-022-00929-4

Jin X, Bagavathiannan M, McCullough PE, Chen Y, Yu J^*(2022) A deep learning-based method for classification, detection, and localization of weeds in turfgrass. Pest Management Science 78(11):4809-4821 DOI 10.1002/ps.7102

Zhuang J, Li XH, Bagavathiannan M, Jin X, Yang J, Meng W, Li T, Li L, Wang Y, Chen Y, Yu J^* (2021) Evaluation of different deep convolutional neural networks for detection of broadleaf weed seedlings in wheat. Pest Management Science https://doi.org/10.1002/ps.6656

Liu X, Wang JN, Feng XH, Yu J^* (2021) The pyrolysis liquid of apple tree branches for annual bluegrass control. Industrial Crops and Products 174:114193. https://doi.org/10.1016/j.indcrop.2021.114193

Liu X, Zhan Y, Li XH, Li Y, Feng X, Bagavathiannan M, Zhang CJ, Qu M, Yu J^*(2021) The use of wood vinegar as a non-synthetic herbicide for control of broadleaf weeds. Industrial Crops & Products 173:114105 https://doi.org/ 10.1016/j.indcrop.2021.114105 

Yu J.(2023) AI-based precision weed management. Invited Speaker for the Proceedings of Annual Meeting of Chinese Weed Science Society, 16-20 August, 2023. Xining, Qianghai, China.

Honorables and Awards

Recipient of the Taishan Scholar Program at the Shandong Province, 2023.