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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1727
Title: High resolution network for classification of plants in Southeast Asia
Authors: Dang Ngan Ha 
Keywords: Plant classification;High-resolution network;Deep learning
Issue Date: 2022
Publisher: Vietnamese-German University
Abstract: 
Intelligent technologies and applications are becoming more common in our modern environment, yet we seldom notice them. Machine learning has greatly reduced human difficulties and efforts in everyday tasks. It has improved the computer vision problems of recognition and classifying by advanced algorithms and improvements in computation. Image classification is not a new problem and it has been developed continuously in recent years. This paper presents an approach for plant classification in Southeast Asia by using a high-resolution network. The experiments are evaluated on a public dataset including 26 different species in Southeast Asia. The high-resolution network can obtain high accuracy. A wide range of stakeholders, including forestry services, botanists, taxonomists, doctors, and especially pharmaceutical labs, can greatly benefit from accurate plant species identification. The results can promise a change in pharmaceutical industry where plants for producing medicines are easily recognized. The purpose of this thesis is to implement the High-Resolution Network in plant classification in Southeast Asia. Leaves and many parts of plants from 26 different species in Southeast Asia were collected and photographed for the dataset. The result overall is a highly accurate.
URI(1): https://epub.vgu.edu.vn/handle/dlibvgu/1727
Rights: Attribution-NonCommercial 4.0 International
Appears in Collections:Computer Science (CS)

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