Table of Contents
Journal of Insects
Volume 2014, Article ID 297219, 8 pages
Research Article

Development of a Portable Electronic Nose for Detection of Cotton Damaged by Nezara viridula (Hemiptera: Pentatomidae)

1School of Agricultural, Forest, and Environmental Sciences, Clemson University, 231 McAdams Hall, Clemson SC 29634, USA
2School of Agricultural, Forest, and Environmental Sciences, Edisto Research and Education Center, 64 Research Road, Blackville, SC 29817, USA
3Richland County School System, 4801 Hardscrabble Road, Columbia, SC 29229, USA

Received 31 July 2014; Revised 20 October 2014; Accepted 21 October 2014; Published 11 November 2014

Academic Editor: José A. Martinez-Ibarra

Copyright © 2014 Brittany D. Lampson et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Stink bugs are significant pests of cotton in the southeastern USA, causing millions of dollars in control costs and crop losses each year. New methods to detect stink bug damage must be investigated in order to reduce these costs and optimize pesticide applications. One such method would be to detect the volatile organic compounds (VOCs) emitted from cotton plants damaged by stink bugs. A portable device was developed to draw VOCs from the head space of a cotton boll over carbon black-polymer composite sensors. From the response of these sensors, this device would indicate if the boll was fed upon by a stink bug or not. The device was 100% accurate in distinguishing bolls damaged by stink bugs from undamaged controls when tested under training conditions. However, the device was only 57.1% accurate in distinguishing damaged from undamaged bolls when tested 24 h after it was trained. These results indicated that this device was capable of classifying cotton as damaged or undamaged by differentiating VOCs released from undamaged or damaged bolls, but improvements in design are required to address sensitivity to fluctuations in environmental conditions.