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Plant features measurements for roboticsInitial studies of the technical feasibility of using machine vision and color image processing to measure plant health were performed. Wheat plants were grown in nutrient solutions deficient in nitrogen, potassium, and iron. An additional treatment imposed water stress on wheat plants which received a full complement of nutrients. The results for juvenile (less than 2 weeks old) wheat plants show that imaging technology can be used to detect nutrient deficiencies. The relative amount of green color in a leaf declined with increased water stress. The absolute amount of green was higher for nitrogen deficient leaves compared to the control plants. Relative greenness was lower for iron deficient leaves, but the absolute green values were higher. The data showed patterns across the leaf consistent with visual symptons. The development of additional color image processing routines to recognize these patterns would improve the performance of this sensor of plant health.
Document ID
19900007379
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Miles, Gaines E. (Purdue Univ. West Lafayette, IN, United States)
Date Acquired
September 6, 2013
Publication Date
October 1, 1989
Publication Information
Publication: University of Central Florida, NASA(ASEE Summer Faculty Fellowship Program
Subject Category
Life Sciences (General)
Accession Number
90N16695
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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