Deep Learning Model Development for Detecting Coffee Tree Changes Based on Sentinel-2 Imagery in Vietnam-Reference-Cited by-同舟云学术

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Deep Learning Model Development for Detecting Coffee Tree Changes Based on Sentinel-2 Imagery in Vietnam

Published:2022 Issue: Volume:10 Page:109097-109107
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Le Quang Toan¹,Dang Kinh Bac²,Giang Tuan Linh²,Tong Thi Huyen Ai¹,Nguyen Vu Giang¹^ORCID,Nguyen Thi Dieu Linh²,Yasir Muhammad³

Affiliation:

1. Space Technology Institute, Vietnam Academy of Science and Technology, Cau Giay, Hanoi, Vietnam

2. Faculty of Geography, VNU University of Science—Vietnam National University, Thanh Xuan, Hanoi, Vietnam

3. College of Oceanography and Space Informatics, China University of Petroleum, Qingdao, China

Funder

Science and Technology Project of the Vietnam Academy of Science and Technology

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/ielx7/6287639/9668973/09874799.pdf?arnumber=9874799

Cited by 11 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. Quality in beans: tracking and tracing coffee through automation and machine learning;EuroMed Journal of Business;2024-08-21

2. Semantic Segmentation of Coffee Plantations from Sentinel-2 Time Series;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Deep learning models integrating multi-sensor and -temporal remote sensing to monitor landslide traces in Vietnam;International Journal of Disaster Risk Reduction;2024-04

4. Deep learning models for monitoring landscape changes in a UNESCO Global Geopark;Journal of Environmental Management;2024-03

5. Comparison between U-shaped structural deep learning models to detect landslide traces;Science of The Total Environment;2024-02

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