She realised this study with her supervisor Dr. Mansour Matloobi. During the study they revealed a higher correlation between the leaf colour variations and the stages of stem growth in both white colour and colorful cultivars.
Tahmasebi completed her postgraduate at floraculture in 2014 and now she is working towards doctorate study at Department of Horticultural Sciences, Faculty of Agriculture, University of Tabriz, in Iran. She is working on the subject of correlation between the leaf colour variations and the stages of stem growth in hybrid roses.
Image processing has been proved to be an effective tool for plant growth and development analysis in various fields of agriculture.
Using digital image analysis to determine plant characteristics (colour, shape, area, disease, etc.) could be one of the best solutions for growers to increase the efficiency of greenhouse and reduce greenhouse labour cost.
The experiment was conducted in a research greenhouse located at the University of Tabriz, Iran. Four greenhouse cut rose cultivars: ‘Caribia’, ‘Full House’, ‘Cherry Brandy’ and ‘Polar Star’ were bought from a commercial greenhouse and then were transferred to the research greenhouse.
Images of roses were taken with a digital camera during a certain time of the day and in specific light conditions. The images were then introduced to the image software in order to undergo some preparation processes. Image pre-processing, segmentation and background deletion were done.
After preliminary image processing, pixel values of each channel (red, green, and blue) were extracted from the images and then normalised or average red (R), green (G) and blue (B) values of the RGB colour model were calculated.
Results revealed an acceptable correlation between the leaves' colour components and the stage of stem growth in all the cultivars, even in white cultivar ‘Polar Star’. Among the models fitted to the data, linear and exponential models appeared to be best fitted, both showing high positive relationship between the changes of leaf colour and stem stages of growth. This can provide cut rose growers a helpful tool to precisely detect the plant growth stages and thereby assist them in making right decisions.