Conference Paper

A Dynamic Real time Algorithm for Seed Counting

2017 International Conference on Software Engineering and Data Engineering
Mitchell Neilsen, Chaney Courtney, Siddharth Amaravadi, Zhiqiang Xiong, Jesse Poland, Trevor Rife

ABSTRACT



 Kansas State University is a world leader in the study of wheat genetics to develop new varieties that can tolerate a wide range of environmental conditions. Field Book, a new mobile application, was developed to modernize plant breeding programs around the world. Building off its success, we’ve developed several additional mobile apps for plant breeding. As a part of this effort, novel image analysis algorithms are being developed to model and extract plant phenotypes. This paper describes a dynamic, real-time algorithm to accurately count seeds using a modest mobile device. There are many directions for future research to enhance the algorithm’s performance and accuracy. The new algorithm can be used to count a wide variety of different types of crop seeds for high-throughput phenotyping. 

SEDE 2017



ISBN:
978-1-943436-05-7
PUBLISHER:
ISCA
CHIEF EDITOR:
Frederick C. Harris Jr. Yan Shi Sergiu Dascalu
CONFERENCE VENUE:
Denver Colorado USA
CONTACT DETAILS:
Debnath
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