1. My Scholar, Digital Library Repository, Universiti Malaysia Kelantan
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  3. Faculty of Agro Based Industry - Other publication
Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2972
DC FieldValueLanguage
dc.contributor.authorAbd Kharim, Muhammad Nurfaizen_US
dc.contributor.authorAimrun Wayayoken_US
dc.date.accessioned2022-01-20T05:25:06Z-
dc.date.available2022-01-20T05:25:06Z-
dc.date.issued2021-12-30-
dc.identifier.isbn978-967-2912-89-7-
dc.identifier.urihttp://hdl.handle.net/123456789/2972-
dc.descriptionOthersen_US
dc.description.abstractIPCA-RGB model is an image algorithm that was developed to improve fertilizer management of rice farming for precise fertilizer application. The algorithm was developed based on specific nutrients needs by rice plants according to their specific growth stages. The algorithm can be integrated with any type of surveillance drone for aerial image acquisition and can be suited with any ordinary RGB camera for aerial mapping procedure. The algorithm has 90% accuracy in determining precise fertilizer during field application at larger scales. Thus, the cost and amount of fertilizer application have successfully reduced up to 60% - 70% of saving.en_US
dc.language.isoenen_US
dc.subjectrice farmingen_US
dc.subjectprecision farmingen_US
dc.subjectfertilizer managementen_US
dc.subjectfertilizer algorithmen_US
dc.titlePrecise Fertilization With Drone-Based Technologyen_US
dc.typeNationalen_US
dc.description.page112 - 113en_US
dc.description.researchareaAgro Technology & Precision Farmingen_US
dc.relation.seminarCARNIVAL OF RESEARCH AND INNOVATION (CRI2021) In conjunction with International Virtual Innovation & Invention Challenge (INTELLIGENT2021) & Creative Innovation Carnival (CIC2021)en_US
dc.title.titleofbookE-PROCEEDING OF CARNIVAL RESEARCH & INNOVATION (CRI2021) VIRTUAL INTERNATIONAL EDITIONen_US
dc.date.seminarstartdate2021-09-20-
dc.date.seminarenddate2021-09-21-
dc.description.seminarorganizerIntellectual Property and Commercialization Division Research Management and Innen_US
dc.description.typeProceeding Papersen_US
dc.contributor.correspondingauthornurfaiz@umk.edu.myen_US
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairetypeNational-
Appears in Collections:Faculty of Agro Based Industry - Other publication
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e-Proceeding CRI 2021.pdfPRECISE FERTILIZATION WITH DRONE-BASED TECHNOLOGY51.77 MBAdobe PDFView/Open
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