Formosa Journal of Science and Technology (FJST)
Vol. 1 No. 8 (2022): December 2022

Determining Mango Plant Types Using YOLOv4

Prya Artha Widjaja (Universitas Matana)
Jose Ryu Leonesta (Universitas Matana)



Article Info

Publish Date
22 Dec 2022

Abstract

Mango plants consist of many types. This study tries to use leaf imagery to determine the type of mango plant. In this study, one of the object recognition methods in Deep Learning was used, namely YOLO (You Only Look Once) version 4. The types of mango used were manalagi, apple, golek and sweet and fragrant. The study used 457 pieces of data for model training and yielded an accuracy of around 95 percent.

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Journal Info

Abbrev

fjst

Publisher

Subject

Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Social Sciences

Description

Formosa Journal of Science and Technology (FJST) is an open-access scientific journal that publishing full-length research papers and review articles covering subjects that fall under the wide spectrum of science and technology. FJST journal is dedicated towards dissemination of knowledge related to ...