Vineyard Classification Using Machine Learning Techniques Applied to RGB-UAV Imagery

Author:

Padua Luis1,Adao Telmo1,Hruska Jonas2,Guimaraes Nathalie2,Marques Pedro3,Peres Emanuel1,Sousa Joaquim J.1

Affiliation:

1. Centre for Robotics in Industry and Intelligent Systems, INESC-TEC,Porto,Portugal

2. University of Trás-os-Montes e Alto Douro,Vila Real,Portugal

3. Centre for the Research and Technology of Agro-Environmental and Biological Sciences,Vila Real,Portugal

Publisher

IEEE

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. Wide-Scale Identification of Small Woody Features of Landscape from Remote Sensing;Land;2024-07-24

2. Uavine: UAV Hyperspectral and RGB Image Dataset of a Vineyard - Temporal Canopy Growth Monitoring Using Leaf Area Index;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Classification of Grapevine Varieties Using UAV Hyperspectral Imaging;Remote Sensing;2024-06-10

4. Soil Category Classification using Machine Vision and Automated NPK Content Estimation;2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS);2024-04-26

5. Orchard monitoring based on unmanned aerial vehicles and image processing by artificial neural networks: a systematic review;Frontiers in Plant Science;2023-11-27

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