Learning Deep Features on Multiple Scales for Coffee Crop Recognition-Reference-Cited by-同舟云学术

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Learning Deep Features on Multiple Scales for Coffee Crop Recognition

Published:2017-10 Issue: Volume: Page:
ISSN:
Container-title:2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
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Author:

Baeta Rafael,Nogueira Keiller,Menotti David,dos Santos Jefersson A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8094486/8097279/08097321.pdf?arnumber=8097321

Cited by 14 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. Semantic Segmentation of Coffee Plantations from Sentinel-2 Time Series;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Smart Agricultural–Industrial Crop-Monitoring System Using Unmanned Aerial Vehicle–Internet of Things Classification Techniques;Sustainability;2023-07-19

3. Promises and Challenges Relating to Machine Learning Techniques to Predict Areas at Risk of Desertification;Handbook of Research on Driving Socioeconomic Development With Big Data;2023-02-24

4. Agriculture monitoring system based on internet of things by deep learning feature fusion with classification;Computers and Electrical Engineering;2022-09

5. The Potential of Smart Farming IoT Implementation for Coffee farming in Indonesia: A Systematic Review;Green Intelligent Systems and Applications;2022-08-16

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