Data for: Generation of leaf area (LA) values from leaf length (L) and width (W) of Dendrobium nobile orchid using ImageJ

Published: 28 June 2021| Version 1 | DOI: 10.17632/8tk2sc4ytg.1


The experiment was conducted at ICAR-National Research Centre for Orchids (ICAR-NRCO), Pakyong, Sikkim, India where the best leaf area prediction model selection was done through the statistical performance metrices viz.,coefficient of determination (R2), mean absolute errors (MAE) and root mean square errors (RMSE) . 1,589 images of approximately 1.5 -2 years old individual leaves of Dendrobium nobile (Orchidaceae) was captured by a smartphone (Samsung Galaxy J7 with 13 MP camera, 4128 x 3096 pixels, autofocus, LED flash) with a reference scale. ImageJ ( is an open access, image processing software developed by National Institute of Health (NIH), and was used for determining the individual leaf length (L), width (W) and the leaf area (LA). The process of estimating L,W and LA are described as under: 1) Selection of the leaf image is done. 2) Calibration of the software scale with reference scale in cm is done. 3) The length of the leaf is measured from the tip to the base of the leaf just before the starting of the leaf sheath. 4) The width of the leaf is measured from the broadest region of the leaf. 5) The captured area of the Dendrobium nobile leaves was separated from its background using the color threshold function of the software. 6) The region of interest which is measured leaf area was thus automatically calculated. 7) The generated estimation of leaf length, width and leaf area is thus stored in spreadsheet .



Agricultural Science, Machine Learning, Data Modelling