Evaluation of the SeedCounter, a mobile application for grain phenotyping

Evgenii Komyshev, Mikhail Genaev, Dmitry Afonnikov

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


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.

Original languageEnglish
Article number1990
Pages (from-to)1990
Number of pages9
JournalFrontiers in Plant Science
Publication statusPublished - 4 Jan 2017


  • Android
  • Computer image analysis
  • Mobile devices
  • Phenotyping
  • Wheat grain
  • computer image analysis
  • wheat grain
  • phenotyping
  • mobile devices

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