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Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery |
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| Authors: | Osco Lucas Prado Nogueira Keiller Marques Ramos Ana Paula Faita Pinheiro Mayara Maezano Furuya Danielle Elis Garcia Gonçalves Wesley Nunes de Castro Jorge Lucio André Marcato Junior José dos Santos Jefersson Alex |
| Institution: | 1.Faculty of Engineering and Architecture and Urbanism, Post-Graduate Program of Environment and Regional Development, University of Western S?o Paulo (UNOESTE), Presidente Prudente, S?o Paulo, Brazil ;2.Faculty of Engineering, Architecture and Urbanism and Geography, Federal University of Mato Grosso Do Sul (UFMS), Campo Grande, Mato Grosso Do Sul, Brazil ;3.Computing Science and Mathematics Division, University of Stirling, Stirling, FK9 4LA, Scotland, UK ;4.Faculty of Computer Science, Federal University of Mato Grosso Do Sul (UFMS), Campo Grande, Mato Grosso Do Sul, Brazil ;5.National Research Center of Development of Agricultural Instrumentation, Brazilian Agricultural Research Agency (EMBRAPA), R. XV de Novembro 1452, S?o Carlos, SP, 13560-970, Brazil ;6.Department of Computer Science, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil ; |
| Abstract: | Precision Agriculture - Accurately mapping farmlands is important for precision agriculture practices. Unmanned aerial vehicles (UAV) embedded with multispectral cameras are commonly used to map... |
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