Monitoring of the plant health is an important aspect for mitigation of the infestation problem in agricultural farm. In this context, visual interpretation by human eyes of the infected plants was taken an account to diagnose the infestation symptom. However, quantification of the digital photographs taken by digital camera may be the substitute to quantify the infestation of the plants. Yellow network of vein is very conspicuous and difficult to calculate the disease severity in plant by visible interpretation, and to bridge this gap, computer vision or computer system-based quantification may be more accurate, precise and efficient way to diagnose the yellow vein mosaic in okra (Abelmoschus esculentus L.). Hence, the present study was carried out to develop an index using digital photographs of the infected okra plants which led to trace out the severity of the yellow vein mosaic virus. Results revealed that the lowest digital value (1-2/0.39-0.78 %) of the derived equation was least problematic compare to the digital value of 5-12 (1.96-13.33 %) in digital value of 0-255 in 8-bit size. Photographs in serial number 1,3,4,5 and 6 were observed as very low problematic symptom.