Precision Farming: The Big Data Problem You Can Eat
Edward J. Delp
Purdue University
DEIB - Seminar Room (building 20)
April 5th, 2019
10.30 am
Contacts:
Stefano Tubaro
Paolo Bestagini
Research Line:
Signal processing for multimedia and telecommunications
Purdue University
DEIB - Seminar Room (building 20)
April 5th, 2019
10.30 am
Contacts:
Stefano Tubaro
Paolo Bestagini
Research Line:
Signal processing for multimedia and telecommunications
Sommario
In this talk I will describe recent work in image-based plant phenotyping. Estimating the properties of plants (i.e, phenotyping) is critical to predict its viability and biomass. I will describe work we are doing in estimating phenotypic traits such as plant locations, number of plants per plot, Leaf Area Index, canopy cover, leaf length and width, and the number of leaves per plant. Our target crop is Sorghum. We are doing field-based image acquisition using UAVs and ground-based sensing. We analyze plant properties in real field conditions instead of in a controlled environment such as a greenhouse. The goal of this research is to develop a set of tools to precisely and quickly phenotype hundreds of thousands of plants on a daily basis.
Biografia
Edward J. Delp was born in Cincinnati, Ohio. He received the B.S.E.E. (cum laude) and M.S. degrees from the University of Cincinnati, and the Ph.D. degree from Purdue University. In May 2002 he received an Honorary Doctor of Technology from the Tampere University of Technology in Tampere, Finland.
He is currently The Charles William Harrison Distinguished Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering and Professor of Psychological Sciences (Courtesy). His research interests include image and video processing, image analysis, computer vision, image and video compression, multimedia security, medical imaging, multimedia systems, communication and information theory. He has published and presented more than 500 papers.
Dr. Delp is a Fellow of the IEEE, a Fellow of the SPIE, a Fellow of the Society for Imaging Science and Technology (IS&T), and a Fellow of the American Institute of Medical and Biological Engineering.
In 2004 Dr. Delp received the Technical Achievement Award from the IEEE Signal Processing Society for his work in image and video compression and multimedia security. In 2008 Dr. Delp received the Society Award from IEEE Signal Processing Society (SPS). This is the highest award given by SPS and it cited his work in multimedia security and image and video compression. In 2015 Dr. Delp was named Electronic Imaging Scientist of the Year by the IS&T and SPIE. Recently, he received the 2017 SPIE Technology Achievement Award.
He is currently The Charles William Harrison Distinguished Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering and Professor of Psychological Sciences (Courtesy). His research interests include image and video processing, image analysis, computer vision, image and video compression, multimedia security, medical imaging, multimedia systems, communication and information theory. He has published and presented more than 500 papers.
Dr. Delp is a Fellow of the IEEE, a Fellow of the SPIE, a Fellow of the Society for Imaging Science and Technology (IS&T), and a Fellow of the American Institute of Medical and Biological Engineering.
In 2004 Dr. Delp received the Technical Achievement Award from the IEEE Signal Processing Society for his work in image and video compression and multimedia security. In 2008 Dr. Delp received the Society Award from IEEE Signal Processing Society (SPS). This is the highest award given by SPS and it cited his work in multimedia security and image and video compression. In 2015 Dr. Delp was named Electronic Imaging Scientist of the Year by the IS&T and SPIE. Recently, he received the 2017 SPIE Technology Achievement Award.
