Apparatus and infield evaluations of a prototype machine vision system for cotton plant internode length measurement

McCarthy, Cheryl and Hancock, Nigel and Raine, Steven R. (2010) Apparatus and infield evaluations of a prototype machine vision system for cotton plant internode length measurement. Journal of Cotton Science, 14 (4). pp. 221-232. ISSN 1523-6919

Abstract

An on-the-go infield machine vision system was developed to measure internode length (i.e. the distance between main stem nodes) of cotton (Gossypium hirsutum L.) plants which is a significant indicator of past water stress. An infield vehicle was developed to automatically convey the machine vision system across the crop canopy. This paper presents an evaluation of the devised system under a range of operational and field conditions. On average, the vision system's internode length detection rate ranged from 12 measurements per 100 plants for compact plants when the sun was directly overhead with respect to the camera, to 64 measurements per 100 plants for vigorous plants when the sunlight was perpendicular to the camera view angle. Imaging at night time using 850 nm near infrared illumination resulted in internode length detection rates not significantly different from the most reliable daylight conditions. Both across-row and along-row operations of the system were evaluated, with the system yielding internode length measurements for groundspeeds up to 0.20 m/s for along-row operation. Visual occlusion of the main stem nodes by foliage and variations in natural lighting conditions were observed to be the principal reasons for internode lengths not being successfully detected for every plant. However, from the success rates observed it is concluded that the system has the practical capability to extensively map internode length across a field and hence, identify spatial trends in internode length from which spatial trends in plant water stress may be inferred


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © The Cotton Foundation 2010. At head of published title 'Engineering and Ginning'
Depositing User: Ms Cheryl McCarthy
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 04 Mar 2011 04:32
Last Modified: 24 Sep 2013 02:46
Uncontrolled Keywords: automation; image analysis; sensing
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision
07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070302 Agronomy
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
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/8870

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