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Web URL(s):http://www.sciencedirect.com/science/article/pii/S0378377499000797
    Last checked: 05/30/2013
    Access conditions: Item is within a limited-access website
Publication Type:
i
Refereed
Author(s):Sudheer, K. P.; Panda, R. K.
Author Affiliation:Sudheer: Scientist 'B', National Institute of Hydrology, Deltaic Regional Centre, Siddhartha Nagar, India; Assistant Professor, Department of Agricultural Engineering, Indian Insititute of Technology, India
Title:Digital image processing for determining drop sizes from irrigation spray nozzles
Source:Agricultural Water Management. Vol. 45, No. 2, July 2000, p. 159-167.
Publishing Information:[Amsterdam]: Elsevier Scientific Pub.
# of Pages:9
Keywords:TIC Keywords: Image analysis; Nozzles; Sprinklers; Irrigation; Sprinkler irrigation
Abstract/Contents:"All the existing methods for measuring drop sizes produced by a sprinkler nozzle are either cumbersome, expensive or time consuming. Moreover, none could quantitatively express the relationship between drop size distribution and sprinkler head parameters viz. operating pressure and nozzle size. In the present study digital image processing technique has been applied to determine the drop size distribution from an irrigation spray nozzle. Image processing is the technique of automating and integrating a wide range of processes used for the human vision perception. The present study revealed that image processing technique can be successfully implemented for drop size measurement accurately. Being a novel technique, the method has some limitations for adaptation. These limitations can be very well contained through further research."
Language:English
References:10
Note:Pictures, b/w
Tables
Graphs
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Sudheer, K. P., and R. K. Panda. 2000. Digital image processing for determining drop sizes from irrigation spray nozzles. Agric. Water Manage. 45(2):p. 159-167.
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http://www.sciencedirect.com/science/article/pii/S0378377499000797
    Last checked: 05/30/2013
    Access conditions: Item is within a limited-access website
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