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Detection of Grapevine Leafroll Disease Using Multispectral Image Analysis

Ashok Alva, Hong Sun, Qin Zhang

Summary: Grapevine leafroll disease (GLD) is one of the most widespread viral diseases of grape production. It causes problems including delayed fruit ripening and maturity, lower sugar content, reduced anthocyanin’s, increased acidity, reduced yields, poor wine quality, reduced economic returns, and ultimately, demise of vine viability causing the need to remove and replant individual vines or complete vineyards.

An integrative method was used to detect and evaluate the GLD infection based on the spectral reflectance and multispectral image processing techniques.

Visible band (R,G,B) was selected to segment infection symptoms based on Hue Saturation Intensity (HIS) space. Infection indicator and infection parameters were defined to present and evaluate the severity of GLD.

Test results indicated that it’s feasible to use ratio of infected area (RIA) and ratio of color index (RCI) to monitor and evaluate the infection status of GLD.

Detection of Grapevine Leafroll Disease1.Detection of Grapevine Leafroll Disease2