Open source application development for phenotypical data acquisition
dc.contributor.author | Courtney, Chaney Lee | |
dc.date.accessioned | 2017-05-23T15:31:59Z | |
dc.date.available | 2017-05-23T15:31:59Z | |
dc.date.graduationmonth | August | en_US |
dc.date.issued | 2017-08-01 | en_US |
dc.date.published | 2017 | en_US |
dc.description.abstract | The Poland Lab at Kansas State University studies the genetics of wheat ‘to develop a climate-resilient wheat variety that can combat rising heat and drought.’ With populations and food demand rising the need for accelerated food growth is imminent. A previous group of Android applications, Field book has shown that the use of open source app development could create a segue to increasing food development through modernized plant breeding across the world. This is especially useful to various countries that may have a limited budget and have a rising market for Android mobile devices. The applications described in this report include: Verify, a barcode scanning application that can quickly confirm if various seed identifiers are found within a database, Field Mapping, an application that identifies individual plot segments throughout farmland and finally, Survey, an application for manual input of latitude and longitude data. These three applications and services open a new open-source domain for acquisition of data on farmlands to accompany the research of plant breeders. | en_US |
dc.description.advisor | Mitchell L. Neilsen | en_US |
dc.description.degree | Master of Science | en_US |
dc.description.department | Department of Computing and Information Sciences | en_US |
dc.description.level | Masters | en_US |
dc.description.sponsorship | National Science Foundation Bill and Melinda Gates Foundation | en_US |
dc.identifier.uri | http://hdl.handle.net/2097/35601 | |
dc.language.iso | en_US | en_US |
dc.publisher | Kansas State University | en |
dc.subject | Android | en_US |
dc.subject | Agriculture | en_US |
dc.subject | Computer science | en_US |
dc.subject | Phenotype | en_US |
dc.title | Open source application development for phenotypical data acquisition | en_US |
dc.type | Report | en_US |