TY - JOUR

T1 - Evaluation of the SeedCounter, a mobile application for grain phenotyping

AU - Komyshev, Evgenii

AU - Genaev, Mikhail

AU - Afonnikov, Dmitry

PY - 2017/1/4

Y1 - 2017/1/4

N2 - Grain morphometry in cereals is an important step in selecting new high-yielding plants. Manual assessment of parameters such as the number of grains per ear and grain size is laborious. One solution to this problem is image-based analysis that can be performed using a desktop PC. Furthermore, the effectiveness of analysis performed in the field can be improved through the use of mobile devices. In this paper, we propose a method for the automated evaluation of phenotypic parameters of grains using mobile devices running the Android operational system. The experimental results show that this approach is efficient and sufficiently accurate for the large-scale analysis of phenotypic characteristics in wheat grains. Evaluation of our application under six different lighting conditions and three mobile devices demonstrated that the lighting of the paper has significant influence on the accuracy of our method, unlike the smartphone type.

AB - Grain morphometry in cereals is an important step in selecting new high-yielding plants. Manual assessment of parameters such as the number of grains per ear and grain size is laborious. One solution to this problem is image-based analysis that can be performed using a desktop PC. Furthermore, the effectiveness of analysis performed in the field can be improved through the use of mobile devices. In this paper, we propose a method for the automated evaluation of phenotypic parameters of grains using mobile devices running the Android operational system. The experimental results show that this approach is efficient and sufficiently accurate for the large-scale analysis of phenotypic characteristics in wheat grains. Evaluation of our application under six different lighting conditions and three mobile devices demonstrated that the lighting of the paper has significant influence on the accuracy of our method, unlike the smartphone type.

KW - Android

KW - Computer image analysis

KW - Mobile devices

KW - Phenotyping

KW - Wheat grain

KW - SYSTEM

KW - computer image analysis

KW - wheat grain

KW - VARIETIES

KW - IDENTIFICATION

KW - phenotyping

KW - SHAPE

KW - IMAGE-ANALYSIS

KW - mobile devices

UR - http://www.scopus.com/inward/record.url?scp=85009755007&partnerID=8YFLogxK

U2 - 10.3389/fpls.2016.01990

DO - 10.3389/fpls.2016.01990

M3 - Article

C2 - 28101093

AN - SCOPUS:85009755007

VL - 7

SP - 1990

JO - Frontiers in Plant Science

JF - Frontiers in Plant Science

SN - 1664-462X

M1 - 1990

ER -