A Plant Leaf Geometric Parameter Measurement System Based on the Android Platform

Automatic and efficient plant leaf geometry parameter measurement offers useful information for plant management. The objective of this study was to develop an efficient and effective leaf geometry parameter measurement system based on the Android phone platform. The Android mobile phone was used to process and measure geometric parameters of the leaf, such as length, width, perimeter, and area. First, initial leaf images were pre-processed by some image algorithms, then distortion calibration was proposed to eliminate image distortion. Next, a method for calculating leaf parameters by using the positive circumscribed rectangle of the leaf as a reference object was proposed to improve the measurement accuracy. The results demonstrated that the test distances from 235 to 260 mm and angles from 0 to 45 degrees had little influence on the leafs’ geometric parameters. Both lab and outdoor measurements of leaf parameters showed that the developed method and the standard method were highly correlated. In addition, for the same leaf, the results of different mobile phone measurements were not significantly different. The leaf geometry parameter measurement system based on the Android phone platform used for this study could produce high accuracy measurements for leaf geometry parameters.

[1]  Yong He,et al.  Citrus yield estimation based on images processed by an Android mobile phone , 2013 .

[2]  Mustafa Engin,et al.  Design of a Plant Leaf Area Meter Using PV Cell and Embedded Microcontroller , 2013 .

[3]  Ayse Gulcin Kucukkaya,et al.  Photogrammetry and remote sensing in archeology , 2004 .

[4]  Kendall R. Kirk,et al.  Estimation of soybean leaf area, edge, and defoliation using color image analysis , 2018, Comput. Electron. Agric..

[5]  Yong He,et al.  A handheld device for leaf area measurement , 2013 .

[6]  Yuan Yan Tang,et al.  ApLeaf: An efficient android-based plant leaf identification system , 2015, Neurocomputing.

[7]  H. Demirsoy,et al.  Non-destructive leaf area estimation in chestnut , 2006 .

[8]  Tack-Don Han,et al.  Fast Contour-Tracing Algorithm Based on a Pixel-Following Method for Image Sensors , 2016, Sensors.

[9]  Hema Singh,et al.  A Simple, Cost-Effective Method for Leaf Area Estimation , 2011 .

[10]  Fuqiang Zhou,et al.  Distortion correction using a single image based on projective invariability and separate model , 2013 .

[11]  Erkki Oja,et al.  Houghtool -- A software package for the use of the Hough transform , 1996, Pattern Recognit. Lett..

[12]  Isabel Pôças,et al.  Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics , 2016 .

[13]  Mohammed Atiquzzaman,et al.  Complete line segment description using the Hough transform , 1994, Image Vis. Comput..

[14]  Norizan Mat Diah,et al.  Measuring Leaf Area using Otsu Segmentation Method (LAMOS) , 2016 .

[15]  Nathan J B Kraft,et al.  Sensitivity of leaf size and shape to climate: global patterns and paleoclimatic applications. , 2011, The New phytologist.

[16]  Fumiki Hosoi,et al.  Automatic Leaf Segmentation for Estimating Leaf Area and Leaf Inclination Angle in 3D Plant Images , 2018, Sensors.

[17]  María-Paz Diago,et al.  Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions , 2012, Sensors.

[18]  Fengri Li,et al.  Non-destructively predicting leaf area, leaf mass and specific leaf area based on a linear mixed-effect model for broadleaf species , 2017 .

[19]  Salam Din,et al.  Scanner Image Analysis to Estimate Leaf Area , 2014 .

[20]  Zhenyuan Jia,et al.  An improved image acquiring method for machine vision measurement of hot formed parts , 2010 .

[21]  T. J. Dean,et al.  Estimating individual tree leaf area in loblolly pine plantations using LiDAR-derived measurements of height and crown dimensions , 2005 .

[22]  Neha Singh Baghel Optimization of Methods for Image Segmentation by using Thresholding Techniques , 2020 .

[23]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[24]  Nereu Augusto Streck,et al.  Estimativa da área de folhas de cultivares antigas e modernas de soja por método não destrutivo , 2014 .

[25]  Arno Bernardo Heldwein,et al.  Estimativa da área foliar da berinjela em função das dimensões foliares , 2014 .

[26]  David T. Tingey,et al.  Digital Image Analysis to Estimate Leaf Area , 1996 .

[27]  F Universit,et al.  Rapid and Non-destructive Measurement System for Plant Leaf Area Based on Android Mobile Phone , 2014 .

[28]  Niblack Thresholding,et al.  IMAGE SEGMENTATION BY USING THRESHOLDING TECHNIQUES FOR MEDICAL IMAGES , 2016 .

[29]  Adriano Rogério Bruno Tech,et al.  Methods of image acquisition and software development for leaf area measurements in pastures , 2018, Comput. Electron. Agric..

[30]  Alvin R. Womac,et al.  Interactive computer software development for leaf area measurement , 2006 .

[31]  Marlin E. Rice,et al.  Digital Analysis of Leaf Surface Area: Effects of Shape, Resolution, and Size , 2007 .