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A Plant Leaf Geometric Parameter Measurement System Based on the Android Platform.
Liu, Haiyun; Ma, Xu; Tao, Ming; Deng, Ruoling; Bangura, Kemoh; Deng, Xiangwu; Liu, Chuang; Qi, Long.
Afiliação
  • Liu H; College of Engineering, South China Agricultural University, Guangzhou 510642, China. haiyun0420@stu.scau.edu.cn.
  • Ma X; Institute of Intelligent Machines, Chinese Academy, Hefei 230031, China. haiyun0420@stu.scau.edu.cn.
  • Tao M; College of Engineering, South China Agricultural University, Guangzhou 510642, China. maxu1959@scau.edu.cn.
  • Deng R; College of Engineering, South China Agricultural University, Guangzhou 510642, China. taoming@stu.scau.edu.cn.
  • Bangura K; College of Engineering, South China Agricultural University, Guangzhou 510642, China. drl1207@stu.scau.edu.cn.
  • Deng X; College of Engineering, South China Agricultural University, Guangzhou 510642, China. bangura.kemoh@yahoo.com.
  • Liu C; College of Engineering, South China Agricultural University, Guangzhou 510642, China. dengxiangwu123456@163.com.
  • Qi L; College of Engineering, South China Agricultural University, Guangzhou 510642, China. liuchuang@stu.scau.edu.cn.
Sensors (Basel) ; 19(8)2019 Apr 19.
Article em En | MEDLINE | ID: mdl-31010148
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article