Sistem Informasi Pendeteksi Hama Penyakit Tanaman Padi Menggunakan Metode Fuzzy Tsukamoto Berbasis Android

Daniel Alfa Puryono

No hpk5s, OSF Preprints from Center for Open Science

Abstract: Technological change is currently growing very rapidly in every year. With the existence of information technology makes people can easily to dig information through the internet world. Especially with regard to agriculture, such as our research is how to detect pests in rice plants. Pest detection is a process of pest analysis to be observed. While the pest of rice plants are brown planthopper, stem borer, green leafhoppers, grasshoppers, ground bunnies, grayak caterpillar. The method used for the application of pest detection applications is the fuzzy tsukamoto method because this method has the precision to detect pests through digital images. The process of this method by knowing the pattern and shape of various pests then calculated using the stages that exist in fuzzy tsukamoto. This android based application is designed to facilitate and can know the type of pest, pest form, pest weakness and time of pest attack on rice plants. So that with the application penguna can easily know the ways of controlling pests and diseases that attack rice plants. Although this application has not provided recommendations to some of the parties of plant medicine

Date: 2018-03-11
New Economics Papers: this item is included in nep-env
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:hpk5s

DOI: 10.31219/osf.io/hpk5s

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