Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4759192 | Computers and Electronics in Agriculture | 2016 | 9 Pages |
Abstract
Over the span of two years we monitored five Cabernet Sauvignon vineyards: ground surveys recorded the incidence of visual symptoms of disease in the field during the same months in which hyperspectral maps recorded disease incidence from the air. A customized Geographic Information System (GIS) methodology was developed to compare the visual symptoms to the results of the hyperspectral imaging technique. For a select number of vines, disease incidence was then confirmed by laboratory assays. On average, detection sensitivity was 94.1%, with a range of 88% to greater than 99% per vineyard. Various vineyard-specific factors appear to compromise detection sensitivity. Overall, our results show that remote hyperspectral imaging of GLRaV-3 infected Cabernet Sauvignon vineyards can be a useful and cost-effective approach to mapping diseased vines. Future studies should focus on the use of this tool for detecting GLRaV-3 in other grape varieties, as well as other grapevine pathogens.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Sarah L. MacDonald, Matthew Staid, Melissa Staid, Monica L. Cooper,