@article{ART002581748},
author={Hong-Jae Shin and So-in Lee and Hui-won Jeoung and Park Jang Woo},
title={Indoor Plants Image Classification Using Deep Learning and Web Application for Providing Information of Plants},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2020},
volume={15},
number={2},
pages={167-175},
doi={10.34163/jkits.2020.15.2.002}
TY - JOUR
AU - Hong-Jae Shin
AU - So-in Lee
AU - Hui-won Jeoung
AU - Park Jang Woo
TI - Indoor Plants Image Classification Using Deep Learning and Web Application for Providing Information of Plants
JO - Journal of Knowledge Information Technology and Systems
PY - 2020
VL - 15
IS - 2
PB - Korea Knowledge Information Technology Society
SP - 167
EP - 175
SN - 1975-7700
AB - Plants have good effects such as air purification and landscaping, but they have special ingredients to protect themselves. Ingredients made to protect the plant itself can harm people or animals. There are also accidents that are mistaken for other plants with similar plant features. We have implemented a program that can identify plants and display information about each plant. Using deep learning to classify images, we created a web application that predicts plant names and displays information that matches the predicted plants. We created a data set of 61 indoor plants using Google Image Search. The positive effects and negative toxicity of indoor plants are summarized in the database. Deep learning is implemented using fast.ai, a Pytorch-based framework. Through data Augmentation, we increased the number of images to learn. Indoor plant image data were trained using ResNet50, a pretrained model using various images. The accuracy of the model was about 97.5%, which predicted most plants accurately. The web application was implemented using flask, a Python-based web framework. Using the implemented image classification deep learning model, the plant name is predicted and the information corresponding to the predicted plant name is displayed on the web page. The web application can be optimized for mobile devices and used conveniently.
KW - Indoor plant information;Deep learning;Transfer learning;ResNet;Fast.ai
DO - 10.34163/jkits.2020.15.2.002
ER -
Hong-Jae Shin, So-in Lee, Hui-won Jeoung and Park Jang Woo. (2020). Indoor Plants Image Classification Using Deep Learning and Web Application for Providing Information of Plants. Journal of Knowledge Information Technology and Systems, 15(2), 167-175.
Hong-Jae Shin, So-in Lee, Hui-won Jeoung and Park Jang Woo. 2020, "Indoor Plants Image Classification Using Deep Learning and Web Application for Providing Information of Plants", Journal of Knowledge Information Technology and Systems, vol.15, no.2 pp.167-175. Available from: doi:10.34163/jkits.2020.15.2.002
Hong-Jae Shin, So-in Lee, Hui-won Jeoung, Park Jang Woo "Indoor Plants Image Classification Using Deep Learning and Web Application for Providing Information of Plants" Journal of Knowledge Information Technology and Systems 15.2 pp.167-175 (2020) : 167.
Hong-Jae Shin, So-in Lee, Hui-won Jeoung, Park Jang Woo. Indoor Plants Image Classification Using Deep Learning and Web Application for Providing Information of Plants. 2020; 15(2), 167-175. Available from: doi:10.34163/jkits.2020.15.2.002
Hong-Jae Shin, So-in Lee, Hui-won Jeoung and Park Jang Woo. "Indoor Plants Image Classification Using Deep Learning and Web Application for Providing Information of Plants" Journal of Knowledge Information Technology and Systems 15, no.2 (2020) : 167-175.doi: 10.34163/jkits.2020.15.2.002
Hong-Jae Shin; So-in Lee; Hui-won Jeoung; Park Jang Woo. Indoor Plants Image Classification Using Deep Learning and Web Application for Providing Information of Plants. Journal of Knowledge Information Technology and Systems, 15(2), 167-175. doi: 10.34163/jkits.2020.15.2.002
Hong-Jae Shin; So-in Lee; Hui-won Jeoung; Park Jang Woo. Indoor Plants Image Classification Using Deep Learning and Web Application for Providing Information of Plants. Journal of Knowledge Information Technology and Systems. 2020; 15(2) 167-175. doi: 10.34163/jkits.2020.15.2.002
Hong-Jae Shin, So-in Lee, Hui-won Jeoung, Park Jang Woo. Indoor Plants Image Classification Using Deep Learning and Web Application for Providing Information of Plants. 2020; 15(2), 167-175. Available from: doi:10.34163/jkits.2020.15.2.002
Hong-Jae Shin, So-in Lee, Hui-won Jeoung and Park Jang Woo. "Indoor Plants Image Classification Using Deep Learning and Web Application for Providing Information of Plants" Journal of Knowledge Information Technology and Systems 15, no.2 (2020) : 167-175.doi: 10.34163/jkits.2020.15.2.002
