Retraction notice to "A deep learning approach based on graphs to detect plantation lines" [Heliyon Volume 10, Issue 11, 15 June 2024, e31730]

Affiliations

• ¹ Faculty of Computer Science, Federal University of Mato Grosso do Sul, Av. Costa e Silva, Campo Grande, 79070-900, MS, Brazil.
• ² 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.
• ³ Faculty of Agricultural Sciences, Federal University of Grande Dourados, Av. Costa e Silva, Dourados, 79070-900, MS, Brazil.
• ⁴ Faculty of Science and Technology, São Paulo State University (UNESP), R. Roberto Simonsen, 305, Presidente Prudente, 19060-900, SP, Brazil.
• ⁵ Program of Environment and Regional Developement, University of Western São Paulo, Raposo Tavares, km 572, Presidente Prudente, 19067-175, SP, Brazil.
• ⁶ Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
• ⁷ National Research Center of Development of Agricultural Instrumentation, Brazilian Agricultural Research Agency (EMBRAPA), 13560-970, R. XV de Novembro, 1452, São Carlos, SP, Brazil.
• ⁸ Department of Information Engineering and Computer Science, University of Trento, Trento, 38122, Italy.
• ⁹ INOVISAO, Dom Bosco Catholic University, Avenida Tamandaré, 6000, Campo Grande, 79117-900, MS, Brazil.