Predicting Cut Rose Stages of Development and Leaf Color Variations by Means of Image Analysis Technique
محورهای موضوعی : مجله گیاهان زینتی
Mansour Matloobi
1
(Dep. of Horticulture, University of Tabriz, Tabriz, Iran)
Sepide Tahmasebi
2
(University of Tabriz)
Mohamad Reza Dadpour
3
(University of Tabriz)
کلید واژه: Chlorophyll, Leaf color, Cut roses, Image analysis, RGB model,
چکیده مقاله :
The monitor and prediction of crop developmental stages, particularly harvest time, play an important role in planning greenhouse cropping programs and timetables by cut rose producers. There have been many scientific reports on the application of image analysis technology in estimating greenhouse crop growth stages. In the present research, we studied leaf color variations over time by taking timely images from four commercial rose cultivars and processing them later using image j software in RGB color space. Results revealed a higher correlation between the leaf color variations and the stages of stem growth in both white color (R2=0.89) and colorful cultivars (R2=0.94). Furthermore, it was determined that there was a significant difference in leaf color components within stem layers in all cultivars. A good correlation was also observed between the leaf total chlorophyll measured directly by spectrophotometric method and the data acquired indirectly from SPAD readings. Among the models fitted to the stem height and color variation data, linear and exponential models performed best. However, some differences were observed between the cultivars. The potential observed in image analysis technique in detecting color differences among the leaf layers and its versatility in non-destructive determination of a link between the leaf color changes and rose stem growth give it the utmost merit and applicability in greenhouses. Developing such a model for other important cultivars of greenhouse roses will make it possible to equip rose greenhouses with several powerful and reliable tools in order to assist the growers to precisely adjust the crop harvest time and accurately plan their operations according to the market demand and policy.
پیش­بینی مراحل رشد محصول، به­خصوص زمان برداشت آن نقش بسیار مهمی در برنامه­ریزی تولیدات گلخانه­ای دارد. مطالعات فراوانی از کاربرد فن­آوری تجزیه و تحلیل تصاویر دیجیتال برای تخمین رفتار رشدی محصول در گلخانه وجود دارد. در مطالعه حاضر تغییرات مشخصات رنگی برگ چهار رقم تجاری گل رز در طول زمان با استفاده از پردازش تصاویر رنگی توسط نرم­افزار image j و فضای رنگ RGB مورد بررسی قرار گرفت. نتایج حاصل نشان داد که ارتباط بالایی بین اجزای رنگ برگ و مرحله رشد ساقه در ارقام دارای گل­های سفید رنگ (R2 = 0.986) و ارقام گل رنگی (R2 = 0.94) وجود دارد و همچنین تفاوت معنی­داری بین اجزای رنگ در برگ­های لایه­های مختلف ساقه مشاهده شد. همچنین همبستگی خوبی بین اندازه­گیری مستقیم کلروفیل کل توسط روش اسپکتروفتومتری و شاخص کلروفیل به وسیله SPAD بدست آمد. در بین مدل­های بررسی شده معلوم شد مدل خطی و مدل نمایی عملکرد بهتری در ایجاد رابطه منطقی بین داده­های حاصل از ارتفاع ساقه و تغیرات رنگ برگ دارند، هرچند تفاوت­هایی در این زمینه بین ارقام مشاهده شد. توانایی روش آنالیز تصویری در تشخیص غیر مخرب تغییرات رنگی در بین لایه­های برگی و برقراری یک پیوند معنی­دار و منطقی بین تغییرات رشد ساقه ارزشمند و در خور توجه تشخیص داده شد. توسعه این مدل برای سایر ارقام رز گلخانه­ای مهم می­تواند ابزار قوی و قابل اطمینانی در اختیار تولید کنندگان رزهای گلخانه­ای قرار دهد تا بتوانند به کمک آن برنامه­های تولید را تنظیم و زمان برداشت محصول و بازاررسانی را پیش­بینی کنند.
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