Logo eprints

Plant phenotyping with low cost digital cameras and image analytics

Tsaftaris, Sotirios A. and Noutsos, Christos Plant phenotyping with low cost digital cameras and image analytics. In: Information technologies in environmental engineering. Environmental Science and Engineering, 2 . Springer-Verlag, pp. 238-251. ISBN 978-3-540-88351-7 (2009)

Full text not available from this repository.


In this paper we discuss a prototype, easy-to-deploy, and low cost (~ $250) phenotype collection system for growth chambers. Off the shelf digital cameras, wireless transmitters, and PCs are used to store and process the images. A Matlab pipeline is used to fuse multiple images, identify the location of each Arabidopsis plant, segment its leaves, and measure leaf topology and area. Our early findings (unpublished) using this system for correlating genotype to phenotype are very promising. We hope that with future improvements and broad adoption, it will have the same disruptive effects as the first “build your own” microarrayers, which allowed for the explosion of genotyping information. Low cost genotyping and phenotyping will hopefully address some of the environmental, agricultural, and industrial sustainability challenges we are facing today.

Item Type: Book Section
Identification Number: 10.1007/978-3-540-88351-7_18
Additional Information: Proceedings of the 4thiInternational ICSC symposium. Thessaloniki, Greece, May 28-29, 2009
Uncontrolled Keywords: Environment; Environmental Management; Environmental Monitoring/Analysis
Subjects: H Social Sciences > HB Economic Theory
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Research Area: Computer Science and Applications
Depositing User: Users 35 not found.
Date Deposited: 07 Sep 2011 14:12
Last Modified: 05 Mar 2013 15:43
URI: http://eprints.imtlucca.it/id/eprint/832

Actions (login required)

Edit Item Edit Item