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Machine vision guided sensor positioning system for leaf temperature assessmentA sensor positioning system was developed for monitoring plants' well-being using a non-contact sensor. Image processing algorithms were developed to identify a target region on a plant leaf. A novel algorithm to recover view depth was developed by using a camera equipped with a computer-controlled zoom lens. The methodology has improved depth recovery resolution over a conventional monocular imaging technique. An algorithm was also developed to find a maximum enclosed circle on a leaf surface so the conical field-of-view of an infrared temperature sensor could be filled by the target without peripheral noise. The center of the enclosed circle and the estimated depth were used to define the sensor 3-D location for accurate plant temperature measurement.
Document ID
20040088248
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Kim, Y.
(University of Illinois at Urbana-Champaign Urbana, Illinois, United States)
Ling, P. P.
Janes, H. W.
Date Acquired
August 21, 2013
Publication Date
November 1, 2001
Publication Information
Publication: Transactions of the ASAE. American Society of Agricultural Engineers
Volume: 44
Issue: 6
ISSN: 0001-2351
Subject Category
Life Sciences (General)
Distribution Limits
Public
Copyright
Other
Keywords
NASA Discipline Life Support Systems
Non-NASA Center

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