Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1160422
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorSANTOS, L. M. dos
dc.contributor.authorFERRAZ, G. A. e S.
dc.contributor.authorCARVALHO, M. A. de F.
dc.contributor.authorTEODORO, S. A.
dc.contributor.authorCAMPOS, A. A. V.
dc.contributor.authorMENICUCCI NETO, P.
dc.date.accessioned2024-01-03T15:32:28Z-
dc.date.available2024-01-03T15:32:28Z-
dc.date.created2024-01-03
dc.date.issued2022
dc.identifier.citationSustainability , v. 14, n. 20, 13118, 2022.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1160422-
dc.descriptionCoffee trading is an important source of income for the Brazilian commercial balance. Chlorophyll (Chl) are pigments responsible for converting radiation into energy; these pigments are closely related to the photosynthetic efficiency of plants, and the evaluation of the nutritional status of the coffee tree. The inversion method can be used for estimating the canopy chlorophyll content (Chl(canopy)) using the leaf chlorophyll content (Chl(leaf)) and the leaf area index (LAI). The application of vegetation indices (VIs) in high spatial resolution images obtained from remotely piloted aircraft (RPA) can assist in the characterization of Chl(canopy) in addition to providing vital and fast information for monitoring crops and aiding decision-making. This study aimed to identify which VIs adequately explain the Chl and evaluate the relationships between the VIs obtained from remotely piloted aircraft (RPA) images and the Chl(leaf) and Chl(canopy) in coffee plants during the wet and dry seasons. The experiment was conducted on a Coffea arabica L. plantation in Lavras, Minas Gerais, Brazil. Images were collected on 26 November 2019 (wet), 11 August 2020 (dry), and 26 August 2021 (dry) by a multispectral camera embedded in a quadcopter. Plant height (H), crow diameter (D), and Chl(leaf) (a, b and total) data were collected in the field by a metre ruler (H and D) and sensor (Chl(leaf)). The LAI was calculated based on H and D. The Chl(canopy) (a, b, and total) was calculated based on Chl(leaf) and LAI. The image processing was performed in Pix4D software, and postprocessing and calculation of the 21 VIs were performed in QGIS. Statistical analyses (descriptive, statistical tests, Pearson correlation, residuals calculation, and linear regression) were performed using the software R. The VIs from the RPA that best correlates to Chl(canopy) in the wet season were the Modified Chlorophyll Absorption Ratio Index 2 (MCARI2(RPA)), Modified Simple Ratio (MSRRPA) and Simple Ratio (SRRPA). These VIs had high sensitivity and, therefore, were more affected by chlorophyll variability. For the two dry season studied days, there were no patterns in the relationships between Chl(leaf), Chl(canopy), and the VIs. It was possible to use the Chl inversion method for the coffee during the wet season.
dc.language.isoeng
dc.rightsopenAccess
dc.titleUse of RPA images in the mapping of the chlorophyll index of coffee plants.
dc.typeArtigo de periódico
dc.subject.thesagroCoffea Arábica
dc.subject.nalthesaurusChlorophyll
dc.subject.nalthesaurusRadiation hybrid mapping
dc.format.extent216 p.
riaa.ainfo.id1160422
riaa.ainfo.lastupdate2024-01-03
dc.identifier.doihttps://doi.org/10.3390/su142013118
dc.contributor.institutionLUANA MENDES DOS SANTOS, - UNIVERSIDADE FEDERAL DE LAVRAS; GABRIEL ARAÚJO E SILVA FERRAZ, UNIVERSIDADE FEDERAL DE LAVRAS; MILENE ALVES DE FIGUEIREDO CARVALHO, CNPCa; SABRINA APARECIDA TEODORO, UNIVERSIDADE FEDERAL DE LAVRAS; ALISSON ANDRÉ VICENTE CAMPOS, UNIVERSIDADE FEDERAL DE LAVRAS; PEDRO MENICUCCI NETO, UNIVERSIDADE FEDERAL DE LAVRAS.
Aparece nas coleções:Artigo em periódico indexado (SAPC)

Arquivos associados a este item:
Arquivo TamanhoFormato 
Use-of-RPA-Images-in-the-Mapping.pdf2,29 MBAdobe PDFVisualizar/Abrir
Mostrar registro simples do item Visualizar estatísticas

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace