A Web Portal for Rice Crop Improvements | Zendy

James W. Baurley | Zendy; Arif Budiarto | Zendy; Muhamad Fitra Kacamarga | Zendy; Bens Pardamean | Zendy

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A Web Portal for Rice Crop Improvements

Author(s) -

James W. Baurley,

Arif Budiarto,

Muhamad Fitra Kacamarga,

Bens Pardamean

Publication year - 2018

Publication title -

international journal of web portals

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.154

H-Index - 8

eISSN - 1938-0208

pISSN - 1938-0194

DOI - 10.4018/ijwp.2018070102

Subject(s) - python (programming language) , computer science , data science , world wide web , database , operating system

Highqualitymodelsof factors influencing ricecropyieldareneeded incountrieswhere rice is a staple food.Thesemodels canhelp select optimal ricevarieties for expected field conditions. Developmentofasystemtohelpscientisttrackandmakedecisionsusingthisdataischallenging. Itinvolvesincorporationofcomplexdatastructures-genomic,phenotypic,andremotesensing- withcomputationallyintensivestatisticalmodeling.Inthisarticle,theauthorspresentawebportal designedtohelpresearcherstomanageandanalyzetheirdatasets,applymachinelearningtodetect howfactorstakentogetherinfluencecropproduction,andsummarizetheresultstohelpscientists makedecisionsbasedonthelearnedmodels.Theauthorsdevelopedthesystemtobeeasilyaccessed bytheentireteamincludingricescientist,genetics,andfarmers.Assuch,theydevelopedasystem onaserverarchitecturecomprisedofaSQLitedatabase,awebinterfacedevelopedinPython,the Celeryjobscheduler,andstatisticalcomputinginR. KeyWoRdS Crop Improvements, Data Science, Databases, High Performance Computing, Machine Learning, Web Portals

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