Análise exploratória da correlação entre espectrorradiometro de campo e variaveis de solo e planta em vinhedo

Detalhes bibliográficos
Autor(a) principal: Santos, Márcio da Silva
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/21958
Resumo: The objective of this work was to evaluate the replacement of conventional procedures of physical-chemical laboratory analysis of agronomic parameters in viticulture by remote sensing techniques through their correlation with biological variables and agronomic attributes of Vitis vinifera L. A sample grid with 74 points on 3 ha of vines was established. For reflectance readings, the FieldSpec Hand Held 2 portable spectrometer was used and 17 vegetation indices (VI) (SR, NDVI, mNDVI, SGR, RGR, NPCI, SRPI, NPQI, SIPI, PI1, PI2, PI3, EVI, PRI, PSRI, PWI e ARI) were calculated, in two field reading methods, by leaf clip (CP) and by proximal sensing (SP). The VI were related by Pearson's correlation coefficient, at 5% level, with the variables of apparent electrical conductivity (ECa), soil chemistry and physics, chemical analysis of plant tissue, oenological and phytotechnical parameters. Based on the obtained correlations it was possible to affirm that the use of IV instead of the physical / chemical analysis of agronomic parameters is viable, provided that they reach at least one correlation coefficient with moderate magnitude, where we found 36 moderate coefficients. The VI and the analyzed soil variables that presented the highest Pearson correlation coefficient and at least moderate magnitudes for the 0- 20cm depth were mNDVI-SP with Effective CTC (0.508), SR-SP with CTC pH 7,0 (0.534), RGR-SP with K (-0.447), NPQI-SP with Cu (-0.472), P1-SP with K (0.546), Pl2-SP with CTC pH 7.0 (-0.545), and PRI-CP which correlated with both CTC pH 7.0 (0.572) as well as K (-0.565). Already for the depth of 20-40 cm we obtained only the mNDVI-CP with the K (-0.534). For the relationship between IV and plant tissue variables the best results were ARI-CP with B (-0.402), Pl3-SP with K (-0.506) and ARI-SP with K (0.566).
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spelling 2021-08-16T21:17:26Z2021-08-16T21:17:26Z2019-08-26http://repositorio.ufsm.br/handle/1/21958The objective of this work was to evaluate the replacement of conventional procedures of physical-chemical laboratory analysis of agronomic parameters in viticulture by remote sensing techniques through their correlation with biological variables and agronomic attributes of Vitis vinifera L. A sample grid with 74 points on 3 ha of vines was established. For reflectance readings, the FieldSpec Hand Held 2 portable spectrometer was used and 17 vegetation indices (VI) (SR, NDVI, mNDVI, SGR, RGR, NPCI, SRPI, NPQI, SIPI, PI1, PI2, PI3, EVI, PRI, PSRI, PWI e ARI) were calculated, in two field reading methods, by leaf clip (CP) and by proximal sensing (SP). The VI were related by Pearson's correlation coefficient, at 5% level, with the variables of apparent electrical conductivity (ECa), soil chemistry and physics, chemical analysis of plant tissue, oenological and phytotechnical parameters. Based on the obtained correlations it was possible to affirm that the use of IV instead of the physical / chemical analysis of agronomic parameters is viable, provided that they reach at least one correlation coefficient with moderate magnitude, where we found 36 moderate coefficients. The VI and the analyzed soil variables that presented the highest Pearson correlation coefficient and at least moderate magnitudes for the 0- 20cm depth were mNDVI-SP with Effective CTC (0.508), SR-SP with CTC pH 7,0 (0.534), RGR-SP with K (-0.447), NPQI-SP with Cu (-0.472), P1-SP with K (0.546), Pl2-SP with CTC pH 7.0 (-0.545), and PRI-CP which correlated with both CTC pH 7.0 (0.572) as well as K (-0.565). Already for the depth of 20-40 cm we obtained only the mNDVI-CP with the K (-0.534). For the relationship between IV and plant tissue variables the best results were ARI-CP with B (-0.402), Pl3-SP with K (-0.506) and ARI-SP with K (0.566).O objetivo deste trabalho foi avaliar a substituição de procedimentos convencionais de análise de laboratório físico-químico de parâmetros agronômicos na vitivinicultura por técnicas de sensoriamento remoto através da sua correlação com as variáveis biológicas e atributos agronômicos de solo em plantio de Vitis vinifera L. Foi estabelecida uma malha amostral com 74 pontos. Para as leituras de reflectâncias utilizou-se o espectrorradiometro portátil FieldSpec Hand Held 2 e foram calculados 17 índices de vegetação (IV) (SR, NDVI, mNDVI, SGR, RGR, NPCI, SRPI, NPQI, SIPI, PI1, PI2, PI3, EVI, PRI, PSRI, PWI e ARI), em dois métodos de leituras no campo, por clipagem na folha (leaf clip) (CP) e por sensoriamento próximal (SP). Os IV foram relacionados por meio do coeficiente de correlação de Pearson, ao nível de 5%, com as variáveis de condutividade elétrica aparente (CEa), química e física do solo, análise química do tecido vegetal, parâmetros enológicos e fitotécnicos. Com base nas correlações obtidas foi possível afirmar que a utilização de IV em substituição à análises físico/química de parâmetros agronômicos é viável, desde que atinjam, no mínimo, um coeficiente do correlação com magnitude moderada, onde encontramos 36 coeficientes moderadas. Os IV e as variáveis de solo analisadas que apresentaram os maiores coeficiente de correlação por Pearson e magnitudes pelo menos moderadas para a profundidade de 0-20cm foram mNDVISP com a CTC Efetiva (0,508), SR-SP com a CTC pH 7,0 (0,534), RGR-SP com o K (-0,447), NPQI-SP com Cu(-0,472), Pl1-SP com K(0,546), Pl2-SP com a CTC pH 7,0 (-0,545), e o PRI-CP, que apresentou correlação tanto com a CTC pH 7,0 (0,572), bem como com o K (-0,565). Já para a profundidade de 20-40 cm obtivemos apenas o mNDVI-CP com o K (-0,534). Para a relação entre IV e as variáveis do tecido vegetal os melhores resultados foram ARI-CP com B (-0,402), Pl3-SP com o K (- 0,506) e ARI-SP com o K (0,566).porUniversidade Federal de Santa MariaColégio Politécnico da UFSMPrograma de Pós-Graduação em Agricultura de PrecisãoUFSMBrasilTecnologia em Agricultura de PrecisãoAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessÍndices de vegetaçãoAgricultura de precisãoSensoriamento remotoVegetation indexesPrecision agricultureRemote sensingCNPQ::CIENCIAS AGRARIAS::AGRONOMIAAnálise exploratória da correlação entre espectrorradiometro de campo e variaveis de solo e planta em vinhedoRelations between remote sensing, soil and precision horticulture variablesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisSebem, Elódiohttp://lattes.cnpq.br/7879588106056349Junges, Amanda HeemannBueno, Marcio Eduardo Boeirahttp://lattes.cnpq.br/2177304437221041Santos, Márcio da Silva500100000009600600600600600f4b79560-1f23-42b6-9179-045799475f47b012db10-ee64-4c1a-b310-71df30ef28a05b0bf9ce-41a4-41d3-ac2c-d7497f6d1284571da25a-977c-47c6-8d3c-dc3d27e11529reponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALDIS_PPGAP_2019_SANTOS_MARCIO.pdfDIS_PPGAP_2019_SANTOS_MARCIO.pdfDissertaçãoapplication/pdf3246239http://repositorio.ufsm.br/bitstream/1/21958/1/DIS_PPGAP_2019_SANTOS_MARCIO.pdf2c7dd0a8c5e106fe337ebb2e4e60206cMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.por.fl_str_mv Análise exploratória da correlação entre espectrorradiometro de campo e variaveis de solo e planta em vinhedo
dc.title.alternative.eng.fl_str_mv Relations between remote sensing, soil and precision horticulture variables
title Análise exploratória da correlação entre espectrorradiometro de campo e variaveis de solo e planta em vinhedo
spellingShingle Análise exploratória da correlação entre espectrorradiometro de campo e variaveis de solo e planta em vinhedo
Santos, Márcio da Silva
Índices de vegetação
Agricultura de precisão
Sensoriamento remoto
Vegetation indexes
Precision agriculture
Remote sensing
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Análise exploratória da correlação entre espectrorradiometro de campo e variaveis de solo e planta em vinhedo
title_full Análise exploratória da correlação entre espectrorradiometro de campo e variaveis de solo e planta em vinhedo
title_fullStr Análise exploratória da correlação entre espectrorradiometro de campo e variaveis de solo e planta em vinhedo
title_full_unstemmed Análise exploratória da correlação entre espectrorradiometro de campo e variaveis de solo e planta em vinhedo
title_sort Análise exploratória da correlação entre espectrorradiometro de campo e variaveis de solo e planta em vinhedo
author Santos, Márcio da Silva
author_facet Santos, Márcio da Silva
author_role author
dc.contributor.advisor1.fl_str_mv Sebem, Elódio
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/7879588106056349
dc.contributor.referee1.fl_str_mv Junges, Amanda Heemann
dc.contributor.referee2.fl_str_mv Bueno, Marcio Eduardo Boeira
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/2177304437221041
dc.contributor.author.fl_str_mv Santos, Márcio da Silva
contributor_str_mv Sebem, Elódio
Junges, Amanda Heemann
Bueno, Marcio Eduardo Boeira
dc.subject.por.fl_str_mv Índices de vegetação
Agricultura de precisão
Sensoriamento remoto
topic Índices de vegetação
Agricultura de precisão
Sensoriamento remoto
Vegetation indexes
Precision agriculture
Remote sensing
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
dc.subject.eng.fl_str_mv Vegetation indexes
Precision agriculture
Remote sensing
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description The objective of this work was to evaluate the replacement of conventional procedures of physical-chemical laboratory analysis of agronomic parameters in viticulture by remote sensing techniques through their correlation with biological variables and agronomic attributes of Vitis vinifera L. A sample grid with 74 points on 3 ha of vines was established. For reflectance readings, the FieldSpec Hand Held 2 portable spectrometer was used and 17 vegetation indices (VI) (SR, NDVI, mNDVI, SGR, RGR, NPCI, SRPI, NPQI, SIPI, PI1, PI2, PI3, EVI, PRI, PSRI, PWI e ARI) were calculated, in two field reading methods, by leaf clip (CP) and by proximal sensing (SP). The VI were related by Pearson's correlation coefficient, at 5% level, with the variables of apparent electrical conductivity (ECa), soil chemistry and physics, chemical analysis of plant tissue, oenological and phytotechnical parameters. Based on the obtained correlations it was possible to affirm that the use of IV instead of the physical / chemical analysis of agronomic parameters is viable, provided that they reach at least one correlation coefficient with moderate magnitude, where we found 36 moderate coefficients. The VI and the analyzed soil variables that presented the highest Pearson correlation coefficient and at least moderate magnitudes for the 0- 20cm depth were mNDVI-SP with Effective CTC (0.508), SR-SP with CTC pH 7,0 (0.534), RGR-SP with K (-0.447), NPQI-SP with Cu (-0.472), P1-SP with K (0.546), Pl2-SP with CTC pH 7.0 (-0.545), and PRI-CP which correlated with both CTC pH 7.0 (0.572) as well as K (-0.565). Already for the depth of 20-40 cm we obtained only the mNDVI-CP with the K (-0.534). For the relationship between IV and plant tissue variables the best results were ARI-CP with B (-0.402), Pl3-SP with K (-0.506) and ARI-SP with K (0.566).
publishDate 2019
dc.date.issued.fl_str_mv 2019-08-26
dc.date.accessioned.fl_str_mv 2021-08-16T21:17:26Z
dc.date.available.fl_str_mv 2021-08-16T21:17:26Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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url http://repositorio.ufsm.br/handle/1/21958
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language por
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dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Colégio Politécnico da UFSM
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Agricultura de Precisão
dc.publisher.initials.fl_str_mv UFSM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Tecnologia em Agricultura de Precisão
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Colégio Politécnico da UFSM
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