Image-based quantification of Fusarium wilt severity in banana

Orr, Ryan, Pattison, Anthony, East, David, Warman, Noeleen, O'Neill, Wayne, Czislowski, Elizabeth, and Nelson, Paul N. (2019) Image-based quantification of Fusarium wilt severity in banana. Australasian Plant Disease Notes, 14. 14.

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DOI: 10.1007/s13314-019-0344-7

View at Publisher Website: https://doi.org/10.1007/s13314-019-0344-...

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Abstract

The severity of Fusarium wilt of bananas has long been classified based on visual assessment of necrosis in rhizome or pseudostem cross-sections. The improved method proposed here uses digital image analysis to quantify the proportion of rhizome tissue that is necrotic. It agrees well with visual classification, but provides greater reproducibility, precision and statistical power.


Item ID:	60002
Item Type:	Article (Research - C1)
ISSN:	1833-928X
Keywords:	Fusarium oxysporum f. sp, cubense, Panama disease, disease severity, image analysis, method
Copyright Information:	© Australasian Plant Pathology Society Inc. 2019.
Funders:	Hort Innovation
Projects and Grants:	BA14014
Date Deposited:	12 Jun 2019 07:41
FoR Codes:	31 BIOLOGICAL SCIENCES > 3108 Plant biology > 310805 Plant pathology @ 33% 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3008 Horticultural production > 300804 Horticultural crop protection (incl. pests, diseases and weeds) @ 33% 46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460306 Image processing @ 34%
SEO Codes:	82 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS > 8202 Horticultural Crops > 820214 Tropical Fruit @ 50% 96 ENVIRONMENT > 9604 Control of Pests, Diseases and Exotic Species > 960413 Control of Plant Pests, Diseases and Exotic Species in Farmland, Arable Cropland and Permanent Cropland @ 50%
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