Open AccessIntercross: a Breeding Application for High-throughput Phenotyping
Author(s) -
Chaney Courtney,
Mitchell Neilsen
Publication year - 2019
Publication title -
epic series in computing
Language(s) - English
Resource type - Conference proceedings
ISSN - 2398-7340
DOI - 10.29007/2hqr
Subject(s) - computer science , task (project management) , android (operating system) , throughput , tracking system , artificial intelligence , operating system , systems engineering , engineering , kalman filter , wireless
Plant scientists around the world have expert-specified systems for dealing with sample breeding. The ability to track parents and their future progeny should be an intuitive and easy task for these systems. Surprisingly, breeders have a handful of various techniques that have little to no centralized protocol. This paper focuses on a novel implementation by Kansas State University’s Cyber Physical Systems lab, the Android application, Intercross. Intercross is the newest addition to the PhenoApps organization’s set of open source applications. This new application is a generic cross tracking system; however, because there are various methodologies for breeding this task is not trivial. This paper will expand on the non-trivial nature of crossing samples and why this system is needed. Previous systems that were used to track crosses are either outdated, do not exist, or are inefficient.