Jensen, Troy and Apan, Armando and Zeller, Les (2009) Crop maturity mapping using a low-cost low-altitude remote sensing system. In: 2009 Surveying and Spatial Sciences Institute Biennial International Conference (SSC 2009): Spatial Diversity , 28 Sep-2 Oct 2009, Adelaide, Australia.
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The objective of this study was to assess the ability of the 'low-cost low-altitude (LCLA) remote sensing system' to map the maturity of a barley crop. Monitoring maturity is important from a frost/pest/disease susceptibility perspective. It also allows harvest to be planned, and in this case, screens varieties for adaptation to potentially tough seasons. The study area, a barley variety trial, was at 'Lundavra' near Goondiwindi in Southern Queensland (-28.056º, 150.087º).
The LCLA remote sensing system consisted of digital cameras which, along with controlling electronics, were positioned in an unmanned aerial vehicle (UAV). The range of growth stages present varied from Zadok 43–59. Areas-of-interest were randomly selected from the variety plots, and a statistical package utilised to perform discriminant function analysis of the spectral values.
The classification results (when predicting the original 14 classes) indicated that the predictive power was weak, with 23% correctly classified. As each class represents an individual growth stage of the crop, a difference of one in the Zadok scale can mean as little as an extra leaf unfolded on the plant. The accuracy was further improved by broadening the groupings to six secondary growth stages, three principal growth stages, and finally refining the classification to the two primary growth stages i.e. booting (Z40–49) and emergence (Z50–59). This resulted in a classification accuracy of 83.5%. The classification results achieved with the LCLA remote sensing system was quite acceptable, especially considering that the image was taken over a month after the growth stages were recorded.
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|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Publisher:||Surveying and Spatial Sciences Institute|
|Item Status:||Live Archive|
|Additional Information (displayed to public):||This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source.|
|Depositing User:||Dr Armando Apan|
|Faculty / Department / School:||Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information|
|Date Deposited:||22 Mar 2010 10:18|
|Last Modified:||20 Nov 2015 05:05|
|Uncontrolled Keywords:||crop maturity; remote sensing|
|Fields of Research (FoR):||07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070104 Agricultural Spatial Analysis and Modelling
07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070107 Farming Systems Research
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
|Socio-Economic Objective (SEO):||B Economic Development > 82 Plant Production and Plant Primary Products > 8205 Winter Grains and Oilseeds > 820501 Barley|
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