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- Title
Characterization of Recently Planted Coffee Cultivars from Vegetation Indices Obtained by a Remotely Piloted Aircraft System.
- Authors
Bento, Nicole Lopes; Ferraz, Gabriel Araújo e Silva; Barata, Rafael Alexandre Pena; Soares, Daniel Veiga; Santos, Luana Mendes dos; Santana, Lucas Santos; Ferraz, Patrícia Ferreira Ponciano; Conti, Leonardo; Palchetti, Enrico
- Abstract
Brazil is the main producer and exporter and the second-largest consumer of coffee in the world, and Remotely Piloted Aircraft Systems stands out as an efficient remote detection technique applied to the study and mapping of crops. The objective of this study was to characterize three recently planted cultivars of Coffea arabica L. The study area is in Minas Gerais, Brazil, with a coffee plantation of the initial age of 5 months. The temporal behavior was determined based on monthly mean values. The spectral profile was obtained with mean values of the last month of dry and rainy periods. The statistical differences were obtained based on the non-parametric test of multiple comparisons. The estimation of the exponential equation was obtained through the Spearman correlation coefficient of determination and root mean square error. It was concluded that the seasons influence the behavior and development of cultivars, and significant statistical differences were detected for the variables, except for the chlorophyll variable. Due to the proximity and overlap of the reflectance values, spectral bands were not used to individualize cultivars. A correlation between the vegetation indices and leaf area index was observed and the exponential regression equation was estimated for each cultivar under study.
- Subjects
BRAZIL; MINAS Gerais (Brazil); DRONE aircraft; LEAF area index; STANDARD deviations; COFFEE beans; COFFEE plantations; COFFEE; CULTIVARS
- Publication
Sustainability (2071-1050), 2022, Vol 14, Issue 3, p1446
- ISSN
2071-1050
- Publication type
Article
- DOI
10.3390/su14031446