报告题目:Next generation plant phenotyping systems development at Purdue University
报告人:美国普渡大学 金剑 博士
时 间:2017年5月3日(周三)上午9:00
地 点:生科楼A5002
Current Project:
To develop the next generation single plant phenotyping platform with:
Hyperspectral, 3D, Thermal, Fluorescent, etc.
Smart robotic sensors arms for localized precise measurements
Next generation plant image processing algorithms
Super computing capability for big data modeling
The goal is to push plant phenotyping activities to the next level for:
Stress tolerance gene selection
Best practice in plant protection
Higher crop yield to meet world’s increasing food demand
Improved food quality and nutrition
PROFESSIONAL EXPERIENCE:
08/2015 - present: Assistant Professor, Department of Agricultural and Biological Engineering, Purdue UniversityResearch Area: Sensor/Imaging for Plant Phenotyping06/2010 - 08/2015: Research Scientist / Technology Leader, Analytical-Genomics Technologies, DuPont Pioneer, Leading DuPont Pioneer’s Hyperspectral Imaging team for crop plant phenotyping.
EDUCATION:2005-2009: PhD in Agricultural and Biosystems Engineering, Iowa State University2003-2005: ME in Computer Engineering, Denmark Technical University1999-2003: BS in Computer Science, Zhejiang University
AWARDS AND LEADERSHIP
Vice President of IET-348 Electromagnetics and Spectroscopy Committee, American Society of Agricultural and Biological Engineers. (2012-present)
Vice President of IET-318 Mechatronics and Biorobotics Committee, American Society of Agricultural and Biological Engineers. (2011-present)
Vice President of Iowa Chinese In Agriculture (2012-2013)
University Research Excellence Award, Iowa State University, 2009
President of International Student Council of Iowa State University (2008-2009)
Outstanding Leadership Award, Iowa State University, 2008
Community Leadership Award, with Certificate of Recognition from Iowa Governor Chester J. Culver, 2007
INVENTIONS/PATENTS
3 DuPont Pioneer Internal CMIs (Confidential Memorandum Invention)
Crop Stand Analyzer Using Reflective Laser Proximity Sensors, Invention Disclosure (ISURF #04224), Mar 27, 2014
PUBLICATIONS
Jian Jin and Lie Tang. 2011. Coverage Path Planning on Three-dimensional Terrain for Arable Farming. Journal of Field Robotics, Volume 28, Issue 3, Pages 424-440
.Jin, J. and L. Tang. 2010. Optimal Coverage Path Planning on 3D Terrain. ASABE Paper No. 1009220, St. Joseph, MI.
Jian Jin and Lie Tang. 2010. Optimal Coverage Path Planning for Arable Farming on 2D Surfaces. Transactions of the ASABE. 53(1): 283-295.
Jian Jin and Lie Tang. 2009. Corn Plant Sensing Using Real-Time Stereo Vision. Journal of Field Robotics, Volume 26, Issue 6-7, Pages 591-608.
Jian Jin, Lie Tang, Zuzana Hruska, Haibo Yao. 2009. Classification of Toxigenic and Atoxigenic Strains of Aspergillus Flavus with Hyperspectral Imaging. Computers and Electronics in Agriculture, Volumn 69, Issue 2, Pages 158-164.
Jin, J. and L. Tang. 2008 Optimal planning for farming on 3D terrain. ASABE Paper No. 084516, St. Joseph, MI.
Jin, J. and L. Tang. 2008. Crop plants recognition and spacing sensing with real-time 3D vision. ASABE Paper No. 084517, St. Joseph, MI.
Jin, J., L. Tang. 2007. 3D terrain modeling with discrete elevation points. ASABE Paper No. 071008, St. Joseph, MI.
Jin, J., L. Tang, S. Han. 2007. Corn plant population sensing using real-time 3D vision. ASABE Paper No. 073130, St. Joseph, MI.
Jin, J., L. Tang, S. Han. 2007. Corn plant population sensing with laser proximity sensor array. ASABE Paper No. 073131, St. Joseph, MI.
Jin, J., H. Yao, L. Tang. 2007. Classification of toxigenic and atoxigenic strains of A.flavus with hyperspectral imaging. ASABE Paper No. 073024, St. Joseph, MI.
Jin, J., L. Tang. 2006. Optimal path planning for arable farming. ASABE Paper No. 061158, St. Joseph, MI.