Open source application development for phenotypical data acquisition

Master of Science === Department of Computing and Information Sciences === Mitchell L. Neilsen === 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 t...

Full description

Bibliographic Details
Main Author: Courtney, Chaney Lee
Language:en_US
Published: Kansas State University 2017
Subjects:
Online Access:http://hdl.handle.net/2097/35601
id ndltd-KSU-oai-krex.k-state.edu-2097-35601
record_format oai_dc
spelling ndltd-KSU-oai-krex.k-state.edu-2097-356012017-08-08T15:43:39Z Open source application development for phenotypical data acquisition Courtney, Chaney Lee Android Agriculture Computer science Phenotype Master of Science Department of Computing and Information Sciences Mitchell L. Neilsen 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. 2017-05-23T15:31:59Z 2017-05-23T15:31:59Z 2017 August Report http://hdl.handle.net/2097/35601 en_US Kansas State University
collection NDLTD
language en_US
sources NDLTD
topic Android
Agriculture
Computer science
Phenotype
spellingShingle Android
Agriculture
Computer science
Phenotype
Courtney, Chaney Lee
Open source application development for phenotypical data acquisition
description Master of Science === Department of Computing and Information Sciences === Mitchell L. Neilsen === 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.
author Courtney, Chaney Lee
author_facet Courtney, Chaney Lee
author_sort Courtney, Chaney Lee
title Open source application development for phenotypical data acquisition
title_short Open source application development for phenotypical data acquisition
title_full Open source application development for phenotypical data acquisition
title_fullStr Open source application development for phenotypical data acquisition
title_full_unstemmed Open source application development for phenotypical data acquisition
title_sort open source application development for phenotypical data acquisition
publisher Kansas State University
publishDate 2017
url http://hdl.handle.net/2097/35601
work_keys_str_mv AT courtneychaneylee opensourceapplicationdevelopmentforphenotypicaldataacquisition
_version_ 1718514499129966592