Thông tin chung
  English
  Đề tài NC khoa học
  Bài báo, báo cáo khoa học
  Hướng dẫn Sau đại học
  Sách và giáo trình
  Các học phần và môn giảng dạy
  Giải thưởng khoa học, Phát minh, sáng chế
  Khen thưởng
  Thông tin khác
  Tài liệu tham khảo
  Hiệu chỉnh
 
Số người truy cập: 107,322,395

 Intelligent Fruit Recognition System Using Deep Learning
Tác giả hoặc Nhóm tác giả: Ha Huy Cuong Nguyen, Anh Tuan Luong, Trung Hai Trinh, Phan Hieu Ho, Phayung Meesad, and Thanh Thuy Nguyen.
Nơi đăng: LectureLecture Notes in Networks and Systems, Proceedings of the 17th International Conference on Computing and Information Technology (IC2IT 2021); Số: E-ISSN2367-3389;Từ->đến trang: 13-22;Năm: 2021
Lĩnh vực: Công nghệ thông tin; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
Industrial Revolution 4.0 has made us people more professional, automating all production stages from office work to project work on farms. In the precision agriculture, it is very urgent to bring new and effective solutions to using artificial intelligence for people to use and improve the manual steps gradually, and increase the automation feature. So, automatic fruit recognition technique is the latest trend and effective technique in precision agriculture. This paper proposes a technical solution for fruit classification using deep learning. Automatic fruit identification using computer vision is considered a challenging task. This is because there are similarities between fruits and changes in the external environment such as light affect the fruit recognition model. Most previously implemented techniques have some limitations since their testing and evaluation is done using a limited set of data sets. Some implementations, does not consider changes to the external environment for the image are considered in this implementation. In this paper, exploring part of the deep learning algorithms was achieved and discovered strengths and weaknesses for these algorithms. The knowledge was gained on deep learning and a model was built that could recognize fruits from images.
ABSTRACT
Industrial Revolution 4.0 has made us people more professional, automating all production stages from office work to project work on farms. In the precision agriculture, it is very urgent to bring new and effective solutions to using artificial intelligence for people to use and improve the manual steps gradually, and increase the automation feature. So, automatic fruit recognition technique is the latest trend and effective technique in precision agriculture. This paper proposes a technical solution for fruit classification using deep learning. Automatic fruit identification using computer vision is considered a challenging task. This is because there are similarities between fruits and changes in the external environment such as light affect the fruit recognition model. Most previously implemented techniques have some limitations since their testing and evaluation is done using a limited set of data sets. Some implementations, does not consider changes to the external environment for the image are considered in this implementation. In this paper, exploring part of the deep learning algorithms was achieved and discovered strengths and weaknesses for these algorithms. The knowledge was gained on deep learning and a model was built that could recognize fruits from images.
[ 2023\2023m012d020_5_21_52Intelligent_Fruit_Recognition_System_Using_Deep_Learning.pdf ]
© Đại học Đà Nẵng
 
 
Địa chỉ: 41 Lê Duẩn Thành phố Đà Nẵng
Điện thoại: (84) 0236 3822 041 ; Email: dhdn@ac.udn.vn