KSUSoy YieldCalc: an innovative native Android app to estimate soybean yield before harvest using conventional approach

dc.contributor.authorBandyopadhyay, Taniaen_US
dc.date.accessioned2015-04-20T14:44:49Z
dc.date.available2015-04-20T14:44:49Z
dc.date.graduationmonthMayen_US
dc.date.issued2015-04-20
dc.date.published2015en_US
dc.description.abstractThis report considers a native Android application called “KSUSoy YieldCalc” that assists in yield estimation of soybean before harvest following conventional approach. Android is one of the most popular installed base of any mobile platform, powering many mobile devices in more than 190 countries for users of diverse economic backgrounds, making it more popular than iOS devices (Android developers n.d.).The project “KSUSoy YieldCalc” adopted the Android platform as its base to serve farmers, agronomists, and consultants and deliver performance to save time and enhance farmers’ their confidence. The native application uses “conventional approach” of estimation of yield for calculations and eliminates the need for having Internet connection to access, thereby increasing the application’s flexibility. The project utilized Android Software Development Kit (SDK) as its development platform with extensive Java and Extensible Markup Language (XML) coding. The Department of Agronomy at Kansas State University (KSU) tested the application with promising results. Dr. Ignacio Ciampitti of the Department of Agronomy at KSU currently demonstrates the application to farmers. User feedback has been very satisfactory to date.en_US
dc.description.advisorDaniel Andresenen_US
dc.description.degreeMaster of Scienceen_US
dc.description.departmentDepartment of Computing and Information Sciencesen_US
dc.description.levelMastersen_US
dc.identifier.urihttp://hdl.handle.net/2097/18951
dc.language.isoen_USen_US
dc.publisherKansas State Universityen
dc.subjectSoybeanen_US
dc.subjectAndroid appen_US
dc.subjectKSUSoy YieldCalcen_US
dc.subjectEstimate of yield before harvesten_US
dc.subjectComputing and Information Sciencesen_US
dc.subjectAgronomyen_US
dc.subject.umiComputer Science (0984)en_US
dc.titleKSUSoy YieldCalc: an innovative native Android app to estimate soybean yield before harvest using conventional approachen_US
dc.typeReporten_US

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