kumoh national institute of technology
Networked Systems Lab.

Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong-Seong Kim and Jae Min Lee, "UAV Assisted Real-Time Detection and Recognition of Citrus Disease in Smart Farm using Deep Learning", Korean Institute of Communications and Information Sciences (KICS Fall 2021 ) Conference, November 17-19, 2021, The Ocean Resort, Yeosu, Jeonnam, Korea (N8 and N12) (S)
By : Vivian
Date : 2021-10-19
Views : 35

Timely detection of plant disease is pivotal in a smart farm. This paper presents a deep learning approach for real-time visual detection and classification of citrus disease using a drone. You Look Only Once version 5 (YOLOv5) model was used and tested against the dataset classified as blackspot, canker, greening, and healthy leaves. The result shows that the model can recognize and classify the disease in real-time with high prediction accuracy.