Formosa Journal of Science and Technology (FJST)
Vol. 2 No. 7 (2023): July, 2023

Differentiate a Health and Sick of Mango Leaves Using YOLOv4

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



Article Info

Publish Date
31 Jul 2023

Abstract

Healthy plants will provide good results for farmers. As in humans, plants can also be affected by diseases that can result in death or crop failure. This study uses the object recognition method, namely YOLO (You Only Look Once) version 4 to determine whether a plant is categorized as sick or healthy. The data used in this research is secondary data. The results obtained were in line with expectations, namely being able to distinguish between healthy and diseased leaves.

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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 ...