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Integration of ultrasonic and optical sensing systems to assess sugarcane biomass and N-uptake

dc.contributor.authorPortz, G.
dc.contributor.authorMolin, J. P.
dc.contributor.authorCanata, T. F. [UNESP]
dc.contributor.authorAdamchuk, V. I.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionMcGill University
dc.date.accessioned2025-04-29T18:36:50Z
dc.date.issued2024-02-01
dc.description.abstractCrop canopy optical reflectance and ultrasonic sensors provide a means of estimating the spatial variability of biomass and nitrogen uptake by sugarcane during the in-season period. The objective of this paper is to assess the crop canopy reflectance and ultrasonic crop height for predicting sugarcane biomass and N-uptake until the later fertilization stages. An ultrasonic sensor was deployed to measure canopy height, which were combined with optical reflectance sensor to characterize the spatial variability of the crop growth in four commercial fields in southeast Brazil during three different growing stages for dry and wet seasons. Ten sampling location points in each field were defined to determine plant biomass and N-uptake through traditional measurements. The points in each field were used to relate the actual biomass and N-uptake with the sensor data and compare them using the coefficient of determination and standard errors; this defined the best approach in each situation according to the multivariable statistics. It was found that both sensor systems enable to correlate its data with sugarcane biomass and N-uptake. Canopy reflectance sensor produced a better assessment of crop growth at the earlier growth stage whereas the ultrasonic sensor resulted in more accurate predictions at the later growing stages. It was proven that canopy height is season dependent whereas the reflectance data is growth stage dependent. The integration of both sensing systems improved the predictions of sugarcane biomass and N-uptake. It could be an alternative to guide local interventions by sugarcane industry during the growing season.en
dc.description.affiliationBiosystems Engineering Department University of São Paulo (USP), 11 Pádua Dias Av, SP
dc.description.affiliationDepartment of Engineering and Mathematical Sciences School of Agricultural and Veterinarian Sciences São Paulo State University (UNESP), Via de Acesso Prof. Paulo Donato Castellane, SP
dc.description.affiliationDepartment of Bioresource Engineering McGill University, 21,111 Lakeshore Road, Ste-Anne-de-Bellevue
dc.description.affiliationUnespDepartment of Engineering and Mathematical Sciences School of Agricultural and Veterinarian Sciences São Paulo State University (UNESP), Via de Acesso Prof. Paulo Donato Castellane, SP
dc.description.sponsorshipFinanciadora de Estudos e Projetos
dc.format.extent83-99
dc.identifierhttp://dx.doi.org/10.1007/s11119-023-10059-z
dc.identifier.citationPrecision Agriculture, v. 25, n. 1, p. 83-99, 2024.
dc.identifier.doi10.1007/s11119-023-10059-z
dc.identifier.issn1573-1618
dc.identifier.issn1385-2256
dc.identifier.scopus2-s2.0-85168650576
dc.identifier.urihttps://hdl.handle.net/11449/298340
dc.language.isoeng
dc.relation.ispartofPrecision Agriculture
dc.sourceScopus
dc.subjectCanopy height
dc.subjectNitrogen fertilization
dc.subjectPlant reflectance
dc.subjectProximal sensing
dc.titleIntegration of ultrasonic and optical sensing systems to assess sugarcane biomass and N-uptakeen
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublication3d807254-e442-45e5-a80b-0f6bf3a26e48
relation.isOrgUnitOfPublication.latestForDiscovery3d807254-e442-45e5-a80b-0f6bf3a26e48
unesp.author.orcid0000-0003-3255-5361[3]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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