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Renfu Lu

Renfu Lu

Renfu Lu

Adjunct Professor

Biography

Dr. Lu is conducting and leading research in sensors and sensing technologies for property characterization and quality evaluation of fruits and vegetables. He is Lead Scientist for the federally appropriated in-house research project “Technologies for Quality Measurement and Grading of Fruits and Vegetables” with the U.S. Department of Agriculture (USDA) Agricultural Research Service (ARS)- the principal federal government research agency in agriculture, food and natural resources. His research applies state-of-the-art technologies in imaging, spectroscopy, and computer as well as advanced mathematical/statistical methods for assessing quality and condition of fruits and vegetables before and after harvest.

Research Area
Awards
Outstanding Alumni Award, College of Agricultural Sciences, Pennsylvania State University
2011 Federal Laboratory Consortium Technology Transfer Award
2009 Select Paper Awards, American Society of Agricultural and Biological Engineers (ASABE) Information and Electrical Technologies (IET) Division
2006, 2008, 2009, 2010 Superior Paper Award, ASABE
2004 Honorable Mention Paper Award, ASABE
1997, 1998 Editor, Transactions of the ASABE and Applied Engineering in Agriculture
2009-present Editorial board, Sensing and Instrumentation for Food Quality and Safety
2006-present Member, ASABE Publication Council and Refereed Publication Committee
2009-present Incoming Chair, ASABE Food and Process Engineering (FPE) Division Executive/Steering Committees
2012-2013 Chair, ASABE FPE Division General Program
Publications
Mendoza, F., Lu, R., Ariana, D. P., Cen, H. and Bailey, B. B. 2011. Integrated spectral and image analysis of hyperspectral scattering data for predicting apple fruit firmness and soluble solids content. Postharvest Biology and Technology 62(2): 149-160.
Ruiz-Altisent, M., Ruiz-García, L., Moreda, G. P., Lu, R., Hernández-Sanchez, N., Correa, E. C., Diezma, B., Nicolai, B. and García-Ramos, J. 2010. Sensors for product characterization and quality of specialty crops - A review. Computers and Electronics in Agriculture 74(2): 176-194.
Cen, H. and Lu, R. 2010. Optimization of the hyperspectral imaging-based spatially-resolved system for measuring the optical properties of biological materials. Optics Express 18(16): 17412-17432.
Ariana, D. P. and Lu, R. 2010. Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging. Journal of Food Engineering 96(4): 583-590.
Lu, R., Cen, H., Huang, M. and Ariana, D. P. 2010. Spectral absorption and scattering properties of normal and bruised apple tissue. Transactions of the ASABE 53(1): 263-269.
Qin, J. and Lu, R. 2009. Monte Carlo simulation for quantification of light transport features in apples. Computers and Electronics in Agriculture 68(1): 44-51.