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Record #58733

A deep learning approach based on graphs to detect plantation lines

Journal
Heliyon
Original paper date
May 25, 2024
Institution
Faculty of Computer Science, Federal University of Mato Grosso do Sul, Av. Costa e Silva, Campo Grande, 79070-900, MS, Brazil · Faculty of Engineering, Architecture, and Urbanism and Geography, Federal University of Mato Grosso do Sul, Av. Costa e Silva, Campo Grande, 79070-900, MS, Brazil · Faculty of Agricultural Sciences, Federal University of Grande Dourados, Av. Costa e Silva, Dourados, 79070-900, MS, Brazil · Program of Environment and Regional Development, University of Western S˜ao Paulo, Raposo Tavares, km 572, Presidente Prudente, 19067-175, SP, Brazil · Faculty of Science and Technology, S˜ao Paulo State University (UNESP), R. Roberto Simonsen, 305, Presidente Prudente, 19060-900, SP, Brazil · Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON, N2L 3G1, Canada · Department of Information Engineering and Computer Science, University of Trento, Trento, 38122, Italy · INOVISAO, Dom Bosco Catholic University, Avenida Tamandar'e, 6000, Campo Grande, 79117-900, MS, Brazil · National Research Center of Development of Agricultural Instrumentation, Brazilian Agricultural Research Agency (EMBRAPA), 13560-970, R. XV de Novembro, 1452, S˜ao Carlos, SP, Brazil
Open access
No
Article type
Research Article
Broad categories
(B/T) Computer Science(B/T) Data Science(BLS) Agriculture
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