A Study on the Development of a Crop Disease Diagnosis Mobile App Service Based on Deep Learning

Dong In Lee, Ji Hwan Lee, Hyun Ae Jung,Seung Ho Jang, Samuel Ryu, Jian Yang, Ji Hwan Oh, Jae Won Kim,Se Jong Oh,Ill Chul Doo

Lecture notes in electrical engineering（2023）

Cited 0|Views4

No score

Abstract

We introduced a crop disease diagnosis mobile application service that improves the weakness of the previous services. We utilized image captioning model with Inception V3-based encoder and transformer-based decoder for detailed explanation. Moreover, object detection model with YOLOv5 was used to display bounding boxes to indicate the damaged region to increase the reliability.

Translated text

Key words

deep learning,mobile,disease diagnosis,service

AI Read Science

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Chat Paper

Summary is being generated by the instructions you defined