Identification and Classification of Mechanical Damage During Continuous Harvesting of Root Crops Using Computer Vision Methods-Reference-Cited by-同舟云学术

Identification and Classification of Mechanical Damage During Continuous Harvesting of Root Crops Using Computer Vision Methods

Published:2022 Issue: Volume:10 Page:28885-28894
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Osipov Aleksey¹^ORCID,Shumaev Vyacheslav²^ORCID,Ekielski Adam³^ORCID,Gataullin Timur⁴,Suvorov Stanislav⁵^ORCID,Mishurov Sergey⁶^ORCID,Gataullin Sergey⁷^ORCID

Affiliation:

1. Information Security Department, Financial University, Moscow, Russia

2. Faculty of Power Engineering, Bauman Moscow Technical University, Moscow, Russia

3. Department of Production Engineering, Warsaw University of Life Sciences, Warsaw, Poland

4. Department of Mathematical Methods in Economics and Management, State University of Management, Moscow, Russia

5. Department of Applied Informatics, Moscow Polytechnic University, Moscow, Russia

6. Department of Economics, Management and Finance, Ivanovo State Polytechnic University, Ivanovo, Russia

7. Department of Data Analysis and Machine Learning, Government of the Russian Federation, Financial University, Moscow, Russia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09729819.pdf?arnumber=9729819

Reference69 articles.

1. Applying Machine Learning Techniques to Identify Damaged Potatoes

2. Development of Monitoring Robot System for Tomato Fruits in Hydroponic Greenhouses

3. Background subtraction: Experiments and improvements for ViBe

4. ViBE: A powerful random technique to estimate the background in video sequences

5. Mathematical Modeling of the Electrophysical Properties of a Layered Nanocomposite Based on Silicon with an Ordered Structure

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictions of apple mechanical damage volume using micro-CT measurements and support vector regression(SVR);Computers and Electronics in Agriculture;2024-11

2. Fresh Fruit Bunch Ripeness Classification Methods: A Review;Food and Bioprocess Technology;2024-06-28

3. Learning-Based Approach for Automated Surface Inspection with Industrial Tomography Imaging;Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems;2024-05-24

4. SIFT-based Approach for Dorsal Hand Veins Images Recognition;2024 26th International Conference on Digital Signal Processing and its Applications (DSPA);2024-03-27

5. An improved pear disease classification approach using cycle generative adversarial network;Scientific Reports;2024-03-20