Geração de zonas de manejo para cafeicultura usando sensor SPAD e análise foliar

Detalhes bibliográficos
Autor(a) principal: Rodrigues Junior, Francelino Augusto
Data de Publicação: 2008
Tipo de documento: Dissertação
Idioma: por
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://locus.ufv.br/handle/123456789/3511
Resumo: One of the critical problems of the precision agriculture is the need of a dense sampling in order to detect the spatial variability of the attribute in study, allowing the generation of maps. One of the solutions for this problem is being the generation of management zones. The objective of this work was: a) to define management zones for coffee crop using K- Means and Fuzzy C-Means methods, based on determinations accomplished with chlorophyll meter and leaf analysis; b) to analyze the correlation between the values of the chlorophyll meter and the results of the leaf analysis of nutrients and c) to evaluate the management zones obtained using the two clustering methods. This work was carried out at Fazenda Jatobá, located in Paula Cândido, MG, during November 2007. The evaluated area had 2.1 ha cultivated with Coffea Arabic L., Catuaí variety, in a soil characterized as Argissolo Vermelho-Amarelo. The rate sampling for the SPAD was made in an alternate way in relation to the row planting, sampling one each four plants, a total of 1145 plants were sampled. The leaves collection was submitted to the leaf analysis to each 10 plants used for SPAD reading. Therefore, this tenth point consisted of simultaneous determinations of SPAD and leaf analysis in laboratory. A total 114 plants were sampled in this way. The correlation between the values of SPAD and the macro and micronutrient leaf concentrations of leaf were analyzed through the Pearson s correlation. The management zones generated using the two clustering methods based on the SPAD values were compared to the ones generated using the results from the N, P and K leaf concentrations; the N and Ca leaf concentrations; the N leaf concentrations; the N, Zn and B leaf concentrations; the N, P, K, Ca and S leaf concentrations; the N, Ca and S leaf concentrations. The correlation found between SPAD values and N leaf concentration in this commercial farm was 34%. This result is smaller than the 94% to 98% found in the literature for experiments in controlled environments. The clustering methods K-Means and Fuzzy C-Means did not present differences in the generation of the management zones. There was low similarity among the management zones generated with use of SPAD and nutrient leaf concentration.
id UFV_854c759ab2bb43b7d66b501883871c2a
oai_identifier_str oai:locus.ufv.br:123456789/3511
network_acronym_str UFV
network_name_str LOCUS Repositório Institucional da UFV
repository_id_str 2145
spelling Rodrigues Junior, Francelino Augustohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4133285P8Queiroz, Daniel Marçal dehttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4783625P5Pinto, Francisco de Assis de Carvalhohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4784515P9Vieira, Luciano Baiãohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781763J4Fernandes, Haroldo Carloshttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4761460E6Santos, Nerilson Terrahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4782537A2Teixeira, Mauri Martinshttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4783316J82015-03-26T13:23:13Z2008-07-222015-03-26T13:23:13Z2008-02-07RODRIGUES JUNIOR, Francelino Augusto. Generation of management zones for coffee cropping using SPAD sensor and leaf analysis. 2008. 76 f. Dissertação (Mestrado em Construções rurais e ambiência; Energia na agricultura; Mecanização agrícola; Processamento de produ) - Universidade Federal de Viçosa, Viçosa, 2008.http://locus.ufv.br/handle/123456789/3511One of the critical problems of the precision agriculture is the need of a dense sampling in order to detect the spatial variability of the attribute in study, allowing the generation of maps. One of the solutions for this problem is being the generation of management zones. The objective of this work was: a) to define management zones for coffee crop using K- Means and Fuzzy C-Means methods, based on determinations accomplished with chlorophyll meter and leaf analysis; b) to analyze the correlation between the values of the chlorophyll meter and the results of the leaf analysis of nutrients and c) to evaluate the management zones obtained using the two clustering methods. This work was carried out at Fazenda Jatobá, located in Paula Cândido, MG, during November 2007. The evaluated area had 2.1 ha cultivated with Coffea Arabic L., Catuaí variety, in a soil characterized as Argissolo Vermelho-Amarelo. The rate sampling for the SPAD was made in an alternate way in relation to the row planting, sampling one each four plants, a total of 1145 plants were sampled. The leaves collection was submitted to the leaf analysis to each 10 plants used for SPAD reading. Therefore, this tenth point consisted of simultaneous determinations of SPAD and leaf analysis in laboratory. A total 114 plants were sampled in this way. The correlation between the values of SPAD and the macro and micronutrient leaf concentrations of leaf were analyzed through the Pearson s correlation. The management zones generated using the two clustering methods based on the SPAD values were compared to the ones generated using the results from the N, P and K leaf concentrations; the N and Ca leaf concentrations; the N leaf concentrations; the N, Zn and B leaf concentrations; the N, P, K, Ca and S leaf concentrations; the N, Ca and S leaf concentrations. The correlation found between SPAD values and N leaf concentration in this commercial farm was 34%. This result is smaller than the 94% to 98% found in the literature for experiments in controlled environments. The clustering methods K-Means and Fuzzy C-Means did not present differences in the generation of the management zones. There was low similarity among the management zones generated with use of SPAD and nutrient leaf concentration.Um dos problemas chaves da agricultura de precisão é a necessidade de uma grade de amostragem densa a fim de detectar a variabilidade espacial do atributo em estudo, e possibilitar a geração de mapas que representem de maneira real tal área. Uma das soluções para este problema vem sendo a geração de zonas de manejo. Com este trabalho objetivou-se definir zonas de manejo para cafeicultura por meio dos métodos K-Means e Fuzzy C-Means, com base em determinações realizadas com sensor de clorofila e por análise foliar; analisar a correlação entre os valores do sensor de clorofila e os resultados da análise foliar de nutrientes; e avaliar as zonas de manejo obtidas usando os dois métodos de agrupamento. O trabalho foi desenvolvido na Fazenda Jatobá, localizada no município de Paula Cândido MG, durante o mês de novembro de 2007. A área avaliada apresenta uma lavoura de Coffea arabica L. cv. Catuaí de 2,10 ha, em solo caracterizado como Argissolo Vermelho- Amarelo. A amostragem para a coleta dos valores de SPAD foi feita de forma alternada em relação às linhas de plantio, e nessas linhas, a cada quatro plantas foi amostrada uma, totalizando-se 25% de todas as plantas presentes nas linhas e 1145 plantas em toda a área. Foi realizada a coleta de folhas que foram submetidas à análise foliar a cada 10 plantas utilizadas para leitura SPAD, então este décimo ponto constou de determinações simultâneas de SPAD e valores da análise foliar, totalizando 114 plantas. Foram analisadas as correlações entre os valores de SPAD e as concentrações foliares de macro e micro-nutrientes através da correlação linear de Pearson . Sendo definidas, por meio dos dois métodos propostos, as zonas de manejo com base nas seguintes análises: Valores de SPAD; concentrações foliares de N, P e K; concentrações foliares de N e Ca; concentrações foliares de N; concentrações foliares de N, Zn e B; concentrações foliares de N, P, K, Ca e S; concentrações foliares de N, Ca e S. A correlação encontrada entre valores de SPAD e N foliar na lavoura comercial em estudo (34%) foi menor que a encontrada na literatura para experimentos em ambientes controlados (94 a 98%). Os métodos de agrupamento de dados K-Means e Fuzzy C-Means não apresentaram diferenças na geração das zonas de manejo. Houve baixa similaridade entre as zonas de manejo geradas com uso do SPAD e concentrações foliares.Conselho Nacional de Desenvolvimento Científico e Tecnológicoapplication/pdfporUniversidade Federal de ViçosaMestrado em Engenharia AgrícolaUFVBRConstruções rurais e ambiência; Energia na agricultura; Mecanização agrícola; Processamento de produAgricultura de precisãoZonas de manejoSensor de clorofilaPrecision agricultureManagement zonesChlorophyll meterCNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLAGeração de zonas de manejo para cafeicultura usando sensor SPAD e análise foliarGeneration of management zones for coffee cropping using SPAD sensor and leaf analysisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALtexto completo.pdfapplication/pdf770269https://locus.ufv.br//bitstream/123456789/3511/1/texto%20completo.pdfca31cddf68df9ffbfca1cc2fc4890499MD51TEXTtexto completo.pdf.txttexto completo.pdf.txtExtracted texttext/plain131671https://locus.ufv.br//bitstream/123456789/3511/2/texto%20completo.pdf.txtabbbc2af5542454b865334a63a88d1eeMD52THUMBNAILtexto completo.pdf.jpgtexto completo.pdf.jpgIM Thumbnailimage/jpeg3559https://locus.ufv.br//bitstream/123456789/3511/3/texto%20completo.pdf.jpg139d81ee79d60edfee971f082cd34113MD53123456789/35112016-04-07 23:14:55.063oai:locus.ufv.br:123456789/3511Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452016-04-08T02:14:55LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.por.fl_str_mv Geração de zonas de manejo para cafeicultura usando sensor SPAD e análise foliar
dc.title.alternative.eng.fl_str_mv Generation of management zones for coffee cropping using SPAD sensor and leaf analysis
title Geração de zonas de manejo para cafeicultura usando sensor SPAD e análise foliar
spellingShingle Geração de zonas de manejo para cafeicultura usando sensor SPAD e análise foliar
Rodrigues Junior, Francelino Augusto
Agricultura de precisão
Zonas de manejo
Sensor de clorofila
Precision agriculture
Management zones
Chlorophyll meter
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
title_short Geração de zonas de manejo para cafeicultura usando sensor SPAD e análise foliar
title_full Geração de zonas de manejo para cafeicultura usando sensor SPAD e análise foliar
title_fullStr Geração de zonas de manejo para cafeicultura usando sensor SPAD e análise foliar
title_full_unstemmed Geração de zonas de manejo para cafeicultura usando sensor SPAD e análise foliar
title_sort Geração de zonas de manejo para cafeicultura usando sensor SPAD e análise foliar
author Rodrigues Junior, Francelino Augusto
author_facet Rodrigues Junior, Francelino Augusto
author_role author
dc.contributor.authorLattes.por.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4133285P8
dc.contributor.author.fl_str_mv Rodrigues Junior, Francelino Augusto
dc.contributor.advisor-co1.fl_str_mv Queiroz, Daniel Marçal de
dc.contributor.advisor-co1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4783625P5
dc.contributor.advisor-co2.fl_str_mv Pinto, Francisco de Assis de Carvalho
dc.contributor.advisor-co2Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4784515P9
dc.contributor.advisor1.fl_str_mv Vieira, Luciano Baião
dc.contributor.advisor1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781763J4
dc.contributor.referee1.fl_str_mv Fernandes, Haroldo Carlos
dc.contributor.referee1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4761460E6
dc.contributor.referee2.fl_str_mv Santos, Nerilson Terra
dc.contributor.referee2Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4782537A2
dc.contributor.referee3.fl_str_mv Teixeira, Mauri Martins
dc.contributor.referee3Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4783316J8
contributor_str_mv Queiroz, Daniel Marçal de
Pinto, Francisco de Assis de Carvalho
Vieira, Luciano Baião
Fernandes, Haroldo Carlos
Santos, Nerilson Terra
Teixeira, Mauri Martins
dc.subject.por.fl_str_mv Agricultura de precisão
Zonas de manejo
Sensor de clorofila
topic Agricultura de precisão
Zonas de manejo
Sensor de clorofila
Precision agriculture
Management zones
Chlorophyll meter
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
dc.subject.eng.fl_str_mv Precision agriculture
Management zones
Chlorophyll meter
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
description One of the critical problems of the precision agriculture is the need of a dense sampling in order to detect the spatial variability of the attribute in study, allowing the generation of maps. One of the solutions for this problem is being the generation of management zones. The objective of this work was: a) to define management zones for coffee crop using K- Means and Fuzzy C-Means methods, based on determinations accomplished with chlorophyll meter and leaf analysis; b) to analyze the correlation between the values of the chlorophyll meter and the results of the leaf analysis of nutrients and c) to evaluate the management zones obtained using the two clustering methods. This work was carried out at Fazenda Jatobá, located in Paula Cândido, MG, during November 2007. The evaluated area had 2.1 ha cultivated with Coffea Arabic L., Catuaí variety, in a soil characterized as Argissolo Vermelho-Amarelo. The rate sampling for the SPAD was made in an alternate way in relation to the row planting, sampling one each four plants, a total of 1145 plants were sampled. The leaves collection was submitted to the leaf analysis to each 10 plants used for SPAD reading. Therefore, this tenth point consisted of simultaneous determinations of SPAD and leaf analysis in laboratory. A total 114 plants were sampled in this way. The correlation between the values of SPAD and the macro and micronutrient leaf concentrations of leaf were analyzed through the Pearson s correlation. The management zones generated using the two clustering methods based on the SPAD values were compared to the ones generated using the results from the N, P and K leaf concentrations; the N and Ca leaf concentrations; the N leaf concentrations; the N, Zn and B leaf concentrations; the N, P, K, Ca and S leaf concentrations; the N, Ca and S leaf concentrations. The correlation found between SPAD values and N leaf concentration in this commercial farm was 34%. This result is smaller than the 94% to 98% found in the literature for experiments in controlled environments. The clustering methods K-Means and Fuzzy C-Means did not present differences in the generation of the management zones. There was low similarity among the management zones generated with use of SPAD and nutrient leaf concentration.
publishDate 2008
dc.date.available.fl_str_mv 2008-07-22
2015-03-26T13:23:13Z
dc.date.issued.fl_str_mv 2008-02-07
dc.date.accessioned.fl_str_mv 2015-03-26T13:23:13Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv RODRIGUES JUNIOR, Francelino Augusto. Generation of management zones for coffee cropping using SPAD sensor and leaf analysis. 2008. 76 f. Dissertação (Mestrado em Construções rurais e ambiência; Energia na agricultura; Mecanização agrícola; Processamento de produ) - Universidade Federal de Viçosa, Viçosa, 2008.
dc.identifier.uri.fl_str_mv http://locus.ufv.br/handle/123456789/3511
identifier_str_mv RODRIGUES JUNIOR, Francelino Augusto. Generation of management zones for coffee cropping using SPAD sensor and leaf analysis. 2008. 76 f. Dissertação (Mestrado em Construções rurais e ambiência; Energia na agricultura; Mecanização agrícola; Processamento de produ) - Universidade Federal de Viçosa, Viçosa, 2008.
url http://locus.ufv.br/handle/123456789/3511
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa
dc.publisher.program.fl_str_mv Mestrado em Engenharia Agrícola
dc.publisher.initials.fl_str_mv UFV
dc.publisher.country.fl_str_mv BR
dc.publisher.department.fl_str_mv Construções rurais e ambiência; Energia na agricultura; Mecanização agrícola; Processamento de produ
publisher.none.fl_str_mv Universidade Federal de Viçosa
dc.source.none.fl_str_mv reponame:LOCUS Repositório Institucional da UFV
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str LOCUS Repositório Institucional da UFV
collection LOCUS Repositório Institucional da UFV
bitstream.url.fl_str_mv https://locus.ufv.br//bitstream/123456789/3511/1/texto%20completo.pdf
https://locus.ufv.br//bitstream/123456789/3511/2/texto%20completo.pdf.txt
https://locus.ufv.br//bitstream/123456789/3511/3/texto%20completo.pdf.jpg
bitstream.checksum.fl_str_mv ca31cddf68df9ffbfca1cc2fc4890499
abbbc2af5542454b865334a63a88d1ee
139d81ee79d60edfee971f082cd34113
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv fabiojreis@ufv.br
_version_ 1801213023505874944