Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery
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CNPq
CAPES Print
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Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Link
http://link.springer.com/content/pdf/10.1007/s11119-020-09777-5.pdf
Reference36 articles.
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3. Ball, J. E., Anderson, D. T., & Chan, C. S. (2017). Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community. Journal of Applied Remote Sensing, 11(04), 042609. https://doi.org/10.1117/1.JRS.11.042609.
4. Bosilj, P., Aptoula, E., Duckett, T., & Cielniak, G. (2020). Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture. Journal of Field Robotics, 37(1), 7–19. https://doi.org/10.1002/rob.21869.
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