Discrimination of herbicide-resistant kochia with hyperspectral imaging

Abstract

A hyperspectral imager was used to differentiate herbicide-resistant versus herbicide-susceptible biotypes of the agronomic weed kochia, in different crops in the field at the Southern Agricultural Research Center in Huntley, Montana. Controlled greenhouse experiments showed that enough information was captured by the imager to classify plants as either a crop, herbicidesusceptible or herbicide-resistant kochia. The current analysis is developing an algorithm that will work in more uncontrolled outdoor situations. In overcast conditions, the algorithm correctly identified dicamba-resistant kochia, glyphosate-resistant kochia, and glyphosate-and dicamba-susceptible kochia with 67%, 76%, and 80% success rates, respectively. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.

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Citation

Nugent, Paul W. , Joseph A. Shaw, Prashant Jha, Bryan Scherrer, Andrew Donelick, and Vipan Kumar. "Discrimination of herbicide-resistant kochia with hyperspectral imaging." Journal of Applied Remote Sensing 12, no. 1 (March 2018). DOI:10.1117/1.JRS.12.016037.
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