Automated internode length measurement of cotton plants under field conditions

McCarthy, C. L. and Hancock, N. H. and Raine, S. R. (2009) Automated internode length measurement of cotton plants under field conditions. Transactions of the American Society of Agricultural Engineers, 52 (6). pp. 2093-2103. ISSN 0001-2351

Abstract

An in-field vision system has been developed that automatically and non-destructively measures internode length (i.e., the distance between successive main stem branches) of plants in a growing cotton crop for the purpose of inferring plant growth performance and informing crop irrigation management. The system uses monocular video acquisition behind a plant-contacting transparent panel that moves through the crop. Line features are extracted from acquired imagery to estimate candidate nodes on the plant's main stem via a two-stage process that may be implemented in real-time. Firstly, candidate nodes are identified in each individual image; secondly, the comparison of sequential images permits the removal of erroneously identified nodes (false positives) and compensation for missed nodes (due to occlusion by a leaf, commonly). Ninety-five internode length measurements were automatically detected from 168 video sequences of 14 plants. Algorithm run-time calculations and the rate of internode measurement acquisition were shown to be adequate for real-time input to spatially varied irrigation control. For this data set, the median absolute error was 5.3 mm in comparison with physical plant measurements, and the standard error in measurement ranged from 1.1 to 5.7 mm, with an average of 3.0 mm.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version deposited in accordance with the copyright policy of the publisher (ASABE). Copyright 2009 American Society of Agricultural and Biological Engineers hereby grants to the Author ... a nonexclusive, royalty-free license to use, reproduce, and distribute the article including the right to sublicense the copyright in the published article, provided that each copy shall include the copyright notice appearing on the published article.
Depositing User: Ms Cheryl McCarthy
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 19 Sep 2010 02:42
Last Modified: 23 Sep 2013 02:37
Uncontrolled Keywords: Delaunay triangulation; feature tracking; Hessian eigenvalues; Hough transform; line detection; cotton plants; plant growth
Fields of Research (FOR2008): 07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070305 Crop and Pasture Improvement (Selection and Breeding)
09 Engineering > 0910 Manufacturing Engineering > 091007 Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics)
10 Technology > 1001 Agricultural Biotechnology > 100101 Agricultural Biotechnology Diagnostics (incl. Biosensors)
Socio-Economic Objective (SEO2008): B Economic Development > 82 Plant Production and Plant Primary Products > 8203 Industrial Crops > 820301 Cotton
URI: http://eprints.usq.edu.au/id/eprint/7871

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