GRA.LE.D. (GRApevine LEaf Digitalization) Software for the Detection and Graphic Reconstruction of Ampelometric Differences Between Vitis Leaves

  • P. Bodor Corvinus University of Budapest, Institute of Viticulture and Enology, Department of Viticulture, Budapest, Hungary
  • L. Baranyai Corvinus University of Budapest, Faculty of Food Science, Department of Physics and Automatization, Budapest, Hungary
  • B. Bálo Róbert Károly College, Research Institute of Viticulture and Enology, Eger, Hungary
  • E. Tóth Róbert Károly College, Research Institute of Viticulture and Enology, Eger, Hungary
  • A. Strever Department of Viticulture and Enology, Private Bag X1, 7602 Matieland, University of Stellenbosch, Stellenbosch, South Africa
  • J.J. Hunter Department of Viticulture and Enology, Private Bag X1, 7602 Matieland, University of Stellenbosch, Stellenbosch, South Africa ARC Infruitec-Nietvoorbij, Private Bag X5026, 7599 Stellenbosch, South Africa
  • Gy.D. Bisztray Corvinus University of Budapest, Institute of Viticulture and Enology, Department of Viticulture, Budapest, Hungary

Abstract

Raster graphic ampelometric software was not exclusively developed for the estimation of leaf area,
but also for the characterization of grapevine (Viti vinifera L.) leaves. The software was written in C++
programming language, using the C++ Builder 2007 for Windows 95-XP and Linux operation systems. It
handles desktop-scanned images. On the image analysed with the GRA.LE.D., the user has to determine
11 points. These points are then connected and the distances between them calculated. The GRA.LE.D.
software supports standard ampelometric measurements such as leaf area, angles between the veins and
lengths of the veins. These measurements are recorded by the software and exported into plain ASCII text
files for single or multiple samples. Twenty-two biometric data points of each leaf are identified by the
GRA.LE.D. It presents the opportunity to statistically analyse experimental data, allows comparison of
cultivars and enables graphic reconstruction of leaves using the Microsoft Excel Chart Wizard. The GRA.
LE.D. was thoroughly calibrated and compared to other widely used instruments and methods such as
photo-gravimetry, LiCor Li3100, WinDIAS2.0 and ImageTool. By comparison, the GRA.LE.D. presented
the most accurate measurements of leaf area, but the LiCor Li3100 and the WinDIAS2.0 were faster, while
the photo-gravimetric method proved to be the most time-consuming. The WinDIAS2.0 instrument was
the least reliable. The GRA.LE.D. is uncomplicated, user-friendly, accurate, consistent, reliable and has
wide practical application.

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Published
2016-11-15
Section
Articles