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Publicação:
Unmanned aerial system and satellite: Which one is a better platform for monitoring of the peanut crops?

dc.contributor.authorCosta Souza, Jarlyson Brunno [UNESP]
dc.contributor.authorLuns Hatum de Almeida, Samira [UNESP]
dc.contributor.authorLopes de Brito Filho, Armando [UNESP]
dc.contributor.authorMorlin Carneiro, Franciele
dc.contributor.authorSantos, Adão Felipe dos
dc.contributor.authorda Silva, Rouverson Pereira [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de Lavras (UFLA)
dc.date.accessioned2023-07-29T16:09:27Z
dc.date.available2023-07-29T16:09:27Z
dc.date.issued2023-05-01
dc.description.abstractRemote sensing tools are helpful in monitoring and managing crop production. However, each remote sensing technology responds to crop variability differently. In this way, the objective of this work was to compare sensors on airborne and orbital platforms and to observe which one has the best quality to determine the behavior of the peanut (Arachis hypogaea L.) crop variability. The experimental design followed the premises of the statistical quality control (SQC), with samples collected over time. The experimental area was composed of 30 sampling points spaced every 50 m. The multispectral images were acquired with an unmanned aerial system (UAS) consisting of a DJI Matrice quad-copter and a Micasense RedEdge multispectral camera and with the PlanetScope multispectral imaging satellites. It was verified that in all periods evaluated for spectral bands and vegetation indices (VI), satellite images presented better process quality. The enhanced vegetation index (EVI) and normalized difference vegetation index (NDVI) generated from satellite images were able to detect the peanut maturation variation better. The behavior of the bands and the VIs generated from the Planet images show quality for peanut crop monitoring. While UAS showed sensitivity to detect the saturation of the bands, making it difficult to visualize the temporal variability.en
dc.description.affiliationDepartment of Engineering and Mathematical Sciences School of Veterinarian and Agricultural Sciences São Paulo State University (UNESP), São Paulo
dc.description.affiliationDepartment of Agriculture School of Agricultural Sciences of Lavras Federal University of Lavras (UFLA)
dc.description.affiliationUnespDepartment of Engineering and Mathematical Sciences School of Veterinarian and Agricultural Sciences São Paulo State University (UNESP), São Paulo
dc.format.extent1146-1160
dc.identifierhttp://dx.doi.org/10.1002/agj2.21310
dc.identifier.citationAgronomy Journal, v. 115, n. 3, p. 1146-1160, 2023.
dc.identifier.doi10.1002/agj2.21310
dc.identifier.issn1435-0645
dc.identifier.issn0002-1962
dc.identifier.scopus2-s2.0-85150955292
dc.identifier.urihttp://hdl.handle.net/11449/249798
dc.language.isoeng
dc.relation.ispartofAgronomy Journal
dc.sourceScopus
dc.titleUnmanned aerial system and satellite: Which one is a better platform for monitoring of the peanut crops?en
dc.typeArtigo
dspace.entity.typePublication
unesp.author.orcid0000-0001-8556-5665[1]
unesp.author.orcid0000-0002-8053-0399[3]
unesp.departmentEngenharia Rural - FCAVpt

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