Abstract
Sudden death syndrome (SDS), caused by the fungus Fusarium virguliforme, is a widespread mid- to late-season soybean disease with distinctive foliar symptoms that in some extreme cases may cause nearly 100% yield loss. This article reports on the development of an image analysis method to quantify SDS severity using an RGB camera under natural light in a laboratory environment. An HSI (hue, saturation, and intensity) color space based image processing approach was developed. A lesion index (LI) was defined as the ratio of affected leaf area to healthy area for evaluating SDS severity levels on leaves of infected plants. A method of using the frequency distribution of hue values of whole leaf area to measure the severity of SDS was also investigated. Preliminary results obtained from laboratory-scale validation demonstrated that the developed method could provide a feasible means of recording SDS severity in situ that could potentially be used for high-throughput greenhouse evaluation of breeding lines or commercial soybean cultivars.
Original language | English (US) |
---|---|
Pages (from-to) | 671-678 |
Number of pages | 8 |
Journal | Transactions of the ASABE |
Volume | 57 |
Issue number | 2 |
DOIs | |
State | Published - 2014 |
Keywords
- HSI
- Image processing
- Infection level
- LI
- Soybean
- Sudden death syndrome
ASJC Scopus subject areas
- Forestry
- Food Science
- Biomedical Engineering
- Agronomy and Crop Science
- Soil Science