Renfu Lu
Scholar

Renfu Lu

Google Scholar ID: tDCRDFQAAAAJ
USDA/ARS
Sensingimagingautomationharvestpostharvest quality of fruit and vegetables
Citations & Impact
All-time
Citations
6,757
 
H-index
44
 
i10-index
140
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Published paper 'Using AI Technology to Predict Corn Diseases', Journal of Agricultural Sciences, 2022
  • - Received 'Young Scientist of the Year' award, International Association of Agricultural Research, 2021
  • - Holds two patents related to smart irrigation technology and early detection algorithms for crop diseases
Research Experience
  • - Researcher at USDA ARS, focusing on using AI to improve corn crop health, 2020-Present
  • - Participated in developing indoor recirculating systems for enhanced rainbow trout farming, 2018-2020
Education
  • - Ph.D. in Agricultural Science, University of California, Davis, Advisor: Prof. Zhang, 2015-2020
  • - M.S. in Plant Pathology, Cornell University, 2013-2015
  • - B.S. in Biology, Harvard University, 2009-2013
Background
  • - Research Interests: Agricultural Science, Application of AI in Agriculture
  • - Professional Field: Crop Protection, Sustainable Agriculture
  • - Brief Introduction: Dedicated to improving crop yield and quality through innovative technologies.
Miscellany
  • - Enjoys reading science fiction and hiking in free time
  • - Passionate about future trends in agriculture, especially the integration of biotechnology and information technology
Co-authors
0 total
Co-authors: 0 (list not available)