Deposição de gotas e eficácia do glufosinato de amônio aplicado com Aeronave Remotamente Pilotada (ARP) no controle de Conyza spp.: influência da vazão e do tamanho de gota

Detalhes bibliográficos
Ano de defesa: 2026
Autor(a) principal: Peres, Dandara Maria lattes
Orientador(a): Santos, Reginaldo Ferreira lattes
Banca de defesa: Urbanski, Jessica Cristina lattes, Herrera, Juan López de, Rodrigues, Manuel Ângelo Rosa
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Estadual do Oeste do Paraná
Cascavel
Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia de Energia na Agricultura
Departamento: Centro de Ciências Exatas e Tecnológicas
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Resumo: Spraying with Remotely Piloted Aircraft (RPA) operates with drastically reduced spray volumes (7 to 10 L ha⁻¹) compared to conventional ground methods, imposing the challenge of ensuring sufficient deposition for the efficacy of contact herbicides, such as glufosinate ammonium, used in the management of hairy fleabane (Conyza spp.) in soybean pre-sowing. This study aimed to evaluate combinations of spray volume and droplet size that maximize target deposition, provide effective weed control, and minimize drift risks. The experiment was conducted in a completely randomized design with six replications, using a DJI Agras T40 drone in a commercial area in the municipality of Lindoeste, PR, Brazil. Eight treatments were tested, resulting from the combination of two spray volumes (7 and 10 L ha⁻¹) and four droplet sizes (100, 200, 300, and 400 μm). Deposition was evaluated using water-sensitive papers, analyzing volume median diameter (VMD), covered area (%), droplet density (droplets cm⁻²), and potential drift risk. Hairy fleabane control efficacy was visually assessed at 7 and 14 days after application (DAA), according to the Brazilian Society of Weed Science (SBCPD) methodology. Data were subjected to analysis of variance and regression analysis. Treatments T2 (7 L ha⁻¹ + 200 μm) and T8 (10 L ha⁻¹ + 400 μm) showed the best results, with covered areas of 2.69% and 2.84%, and droplet densities of 79.18 and 57.42 droplets cm⁻², respectively, not differing statistically from each other. Treatment T4 (7 L ha⁻¹ + 400 μm) showed the poorest performance (0.34% coverage). Regression analysis revealed a quadratic relationship between droplet size and covered area, with maximum estimated points at 215 μm (R² = 0.99) for 7 L ha⁻¹ and at 380 μm (R² = 0.58) for 10 L ha⁻¹. Regarding biological efficacy, treatment T5 (10 L ha⁻¹ + 100 μm) provided the highest absolute control at 14 DAA (≈95%), while T2 and T8 showed satisfactory control (≈82% and 64%, respectively), combining good deposition with adequate levels of hairy fleabane suppression. The VMD range between 200 and 300 μm provided the best balance between coverage (>2.5%), density (>50 droplets cm⁻²), and drift risk (<15%). It is concluded that configurations T2 (7 L ha⁻¹ + 200 μm) and T8 (10 L ha⁻¹ + 400 μm) are the most suitable for glufosinate ammonium application via RPA, recommending droplets in the 200–300 μm range to reconcile agronomic efficacy and drift mitigation. "This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001."
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spelling Santos, Reginaldo Ferreirahttp://lattes.cnpq.br/8789898338167603Tokura, Luciene Kazuehttp://lattes.cnpq.br/0702867301935988Costa, Neumárcio Vilanova dahttp://lattes.cnpq.br/8328839002732737Urbanski, Jessica Cristinahttp://lattes.cnpq.br/8848036199423618Herrera, Juan López deRodrigues, Manuel Ângelo Rosahttp://lattes.cnpq.br/7937912432876440Peres, Dandara Maria2026-07-08T14:30:48Z2026-02-27PERES, Dandara Maria. Deposição de gotas e eficácia do glufosinato de amônio aplicado com Aeronave Remotamente Pilotada (ARP) no controle de Conyza spp.: influência da vazão e do tamanho de gota. 2026. 92 f. Dissertação (Mestrado em Engenharia de Energia na Agricultura) - Universidade Estadual do Oeste do Paraná, Cascavel.https://tede.unioeste.br/handle/tede/8490Spraying with Remotely Piloted Aircraft (RPA) operates with drastically reduced spray volumes (7 to 10 L ha⁻¹) compared to conventional ground methods, imposing the challenge of ensuring sufficient deposition for the efficacy of contact herbicides, such as glufosinate ammonium, used in the management of hairy fleabane (Conyza spp.) in soybean pre-sowing. This study aimed to evaluate combinations of spray volume and droplet size that maximize target deposition, provide effective weed control, and minimize drift risks. The experiment was conducted in a completely randomized design with six replications, using a DJI Agras T40 drone in a commercial area in the municipality of Lindoeste, PR, Brazil. Eight treatments were tested, resulting from the combination of two spray volumes (7 and 10 L ha⁻¹) and four droplet sizes (100, 200, 300, and 400 μm). Deposition was evaluated using water-sensitive papers, analyzing volume median diameter (VMD), covered area (%), droplet density (droplets cm⁻²), and potential drift risk. Hairy fleabane control efficacy was visually assessed at 7 and 14 days after application (DAA), according to the Brazilian Society of Weed Science (SBCPD) methodology. Data were subjected to analysis of variance and regression analysis. Treatments T2 (7 L ha⁻¹ + 200 μm) and T8 (10 L ha⁻¹ + 400 μm) showed the best results, with covered areas of 2.69% and 2.84%, and droplet densities of 79.18 and 57.42 droplets cm⁻², respectively, not differing statistically from each other. Treatment T4 (7 L ha⁻¹ + 400 μm) showed the poorest performance (0.34% coverage). Regression analysis revealed a quadratic relationship between droplet size and covered area, with maximum estimated points at 215 μm (R² = 0.99) for 7 L ha⁻¹ and at 380 μm (R² = 0.58) for 10 L ha⁻¹. Regarding biological efficacy, treatment T5 (10 L ha⁻¹ + 100 μm) provided the highest absolute control at 14 DAA (≈95%), while T2 and T8 showed satisfactory control (≈82% and 64%, respectively), combining good deposition with adequate levels of hairy fleabane suppression. The VMD range between 200 and 300 μm provided the best balance between coverage (>2.5%), density (>50 droplets cm⁻²), and drift risk (<15%). It is concluded that configurations T2 (7 L ha⁻¹ + 200 μm) and T8 (10 L ha⁻¹ + 400 μm) are the most suitable for glufosinate ammonium application via RPA, recommending droplets in the 200–300 μm range to reconcile agronomic efficacy and drift mitigation. "This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001."A pulverização com Aeronaves Remotamente Pilotadas (ARP) opera com volumes de calda drasticamente reduzidos (7 a 10 L ha⁻¹) em comparação com os métodos terrestres convencionais, impondo o desafio de garantir deposição suficiente para a eficácia de herbicidas de contato, como o glufosinato de amônio, utilizado no manejo de buva (Conyza spp.) em pré-semeadura da soja. Objetivou-se avaliar combinações de volume e tamanho de gota que maximizem a deposição sobre o alvo, proporcionem controle eficaz das plantas daninhas e minimizem riscos de deriva. O experimento foi conduzido em delineamento inteiramente casualizado com seis repetições, utilizando-se um drone DJI Agras T40 em área comercial no município de Lindoeste, PR. Foram testados oito tratamentos resultantes da combinação entre dois volumes (7 e 10 L ha⁻¹) e quatro tamanhos de gota (100, 200, 300 e 400 μm). A deposição foi avaliada por papéis hidrossensíveis, analisando-se diâmetro mediano volumétrico (DMV), área coberta (%), densidade de gotas (gotas cm⁻²) e risco potencial de deriva. A eficácia de controle da buva foi avaliada visualmente aos 7 e 14 dias após a aplicação (DAA), conforme metodologia da SBCPD. Os dados foram submetidos à análise de variância e regressão. Os tratamentos T2 (7 L ha⁻¹ + 200 μm) e T8 (10 L ha⁻¹ + 400 μm) apresentaram os melhores resultados, com área coberta de 2,69% e 2,84%, e densidade de 79,18 e 57,42 gotas cm⁻², respectivamente, não diferindo estatisticamente entre si. O tratamento T4 (7 L ha⁻¹ + 400 μm) apresentou o pior desempenho (0,34% de cobertura). A análise de regressão revelou relação quadrática entre tamanho de gota e área coberta, com pontos de máximo estimados em 215 μm (R² = 0,99) para 7 L ha⁻¹ e em 380 μm (R² = 0,58) para 10 L ha⁻¹. Quanto à eficácia biológica, o tratamento T5 (10 L ha⁻¹ + 100 μm) proporcionou o maior controle absoluto aos 14 DAA (≈95%), enquanto T2 e T8 apresentaram controle satisfatório (≈82% e 64%, respectivamente), aliando boa deposição a níveis adequados de supressão da buva. A faixa de DMV entre 200 e 300 μm proporcionou o melhor equilíbrio entre cobertura (>2,5%), densidade (>50 gotas cm⁻²) e risco de deriva (<15%). Conclui-se que as configurações T2 (7 L ha⁻¹ + 200 μm) e T8 (10 L ha⁻¹ + 400 μm) são as mais adequadas para aplicação de glufosinato de amônio via ARP, recomendando-se gotas na faixa de 200–300 μm para conciliar eficácia agronômica e mitigação da deriva.Submitted by Rosangela Silva (rosangela.silva3@unioeste.br) on 2026-07-08T14:30:48Z No. of bitstreams: 1 Dandara Maria Peres.pdf: 1585500 bytes, checksum: 1baab104fccfb513bd9e070bd6de308f (MD5)Made available in DSpace on 2026-07-08T14:30:48Z (GMT). No. of bitstreams: 1 Dandara Maria Peres.pdf: 1585500 bytes, checksum: 1baab104fccfb513bd9e070bd6de308f (MD5) Previous issue date: 2026-02-27Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfpor6588633818200016417500Universidade Estadual do Oeste do ParanáCascavelPrograma de Pós-Graduação em Engenharia de Energia na AgriculturaUNIOESTEBrasilCentro de Ciências Exatas e Tecnológicashttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessTecnologia de aplicaçãoDrone agrícolaGlufosinato de amônioConyza spp.Deposição de gotasApplication technologyAgricultural droneGlufosinate ammonium;Conyza spp.Droplet depositionAGROENERGIADeposição de gotas e eficácia do glufosinato de amônio aplicado com Aeronave Remotamente Pilotada (ARP) no controle de Conyza spp.: influência da vazão e do tamanho de gotaDroplet deposition and efficacy of glufosinate ammonium applied with Re Piloted Aircraft (RPA) in the control of Conyza spp.: influence of spray volume and droplet size.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis228995808982095474160060060022143744428683820152075167498588264571reponame:Biblioteca Digital de Teses e Dissertações do UNIOESTEinstname:Universidade Estadual do Oeste do Paraná (UNIOESTE)instacron:UNIOESTEORIGINALDandara Maria Peres.pdfDandara Maria Peres.pdfapplication/pdf1585500http://tede.unioeste.br:8080/tede/bitstream/tede/8490/2/Dandara+Maria+Peres.pdf1baab104fccfb513bd9e070bd6de308fMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://tede.unioeste.br:8080/tede/bitstream/tede/8490/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede/84902026-07-08 20:31:55.541oai:tede.unioeste.br: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Biblioteca Digital de Teses e Dissertaçõeshttp://tede.unioeste.br/PUBhttp://tede.unioeste.br/oai/requestbiblioteca.repositorio@unioeste.bropendoar:2026-07-08T23:31:55Biblioteca Digital de Teses e Dissertações do UNIOESTE - Universidade Estadual do Oeste do Paraná (UNIOESTE)false
dc.title.por.fl_str_mv Deposição de gotas e eficácia do glufosinato de amônio aplicado com Aeronave Remotamente Pilotada (ARP) no controle de Conyza spp.: influência da vazão e do tamanho de gota
dc.title.alternative.eng.fl_str_mv Droplet deposition and efficacy of glufosinate ammonium applied with Re Piloted Aircraft (RPA) in the control of Conyza spp.: influence of spray volume and droplet size.
title Deposição de gotas e eficácia do glufosinato de amônio aplicado com Aeronave Remotamente Pilotada (ARP) no controle de Conyza spp.: influência da vazão e do tamanho de gota
spellingShingle Deposição de gotas e eficácia do glufosinato de amônio aplicado com Aeronave Remotamente Pilotada (ARP) no controle de Conyza spp.: influência da vazão e do tamanho de gota
Peres, Dandara Maria
Tecnologia de aplicação
Drone agrícola
Glufosinato de amônio
Conyza spp.
Deposição de gotas
Application technology
Agricultural drone
Glufosinate ammonium;
Conyza spp.
Droplet deposition
AGROENERGIA
title_short Deposição de gotas e eficácia do glufosinato de amônio aplicado com Aeronave Remotamente Pilotada (ARP) no controle de Conyza spp.: influência da vazão e do tamanho de gota
title_full Deposição de gotas e eficácia do glufosinato de amônio aplicado com Aeronave Remotamente Pilotada (ARP) no controle de Conyza spp.: influência da vazão e do tamanho de gota
title_fullStr Deposição de gotas e eficácia do glufosinato de amônio aplicado com Aeronave Remotamente Pilotada (ARP) no controle de Conyza spp.: influência da vazão e do tamanho de gota
title_full_unstemmed Deposição de gotas e eficácia do glufosinato de amônio aplicado com Aeronave Remotamente Pilotada (ARP) no controle de Conyza spp.: influência da vazão e do tamanho de gota
title_sort Deposição de gotas e eficácia do glufosinato de amônio aplicado com Aeronave Remotamente Pilotada (ARP) no controle de Conyza spp.: influência da vazão e do tamanho de gota
author Peres, Dandara Maria
author_facet Peres, Dandara Maria
author_role author
dc.contributor.advisor1.fl_str_mv Santos, Reginaldo Ferreira
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/8789898338167603
dc.contributor.advisor-co1.fl_str_mv Tokura, Luciene Kazue
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/0702867301935988
dc.contributor.advisor-co2.fl_str_mv Costa, Neumárcio Vilanova da
dc.contributor.advisor-co2Lattes.fl_str_mv http://lattes.cnpq.br/8328839002732737
dc.contributor.referee1.fl_str_mv Urbanski, Jessica Cristina
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/8848036199423618
dc.contributor.referee2.fl_str_mv Herrera, Juan López de
dc.contributor.referee3.fl_str_mv Rodrigues, Manuel Ângelo Rosa
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/7937912432876440
dc.contributor.author.fl_str_mv Peres, Dandara Maria
contributor_str_mv Santos, Reginaldo Ferreira
Tokura, Luciene Kazue
Costa, Neumárcio Vilanova da
Urbanski, Jessica Cristina
Herrera, Juan López de
Rodrigues, Manuel Ângelo Rosa
dc.subject.por.fl_str_mv Tecnologia de aplicação
Drone agrícola
Glufosinato de amônio
Conyza spp.
Deposição de gotas
topic Tecnologia de aplicação
Drone agrícola
Glufosinato de amônio
Conyza spp.
Deposição de gotas
Application technology
Agricultural drone
Glufosinate ammonium;
Conyza spp.
Droplet deposition
AGROENERGIA
dc.subject.eng.fl_str_mv Application technology
Agricultural drone
Glufosinate ammonium;
Conyza spp.
Droplet deposition
dc.subject.cnpq.fl_str_mv AGROENERGIA
description Spraying with Remotely Piloted Aircraft (RPA) operates with drastically reduced spray volumes (7 to 10 L ha⁻¹) compared to conventional ground methods, imposing the challenge of ensuring sufficient deposition for the efficacy of contact herbicides, such as glufosinate ammonium, used in the management of hairy fleabane (Conyza spp.) in soybean pre-sowing. This study aimed to evaluate combinations of spray volume and droplet size that maximize target deposition, provide effective weed control, and minimize drift risks. The experiment was conducted in a completely randomized design with six replications, using a DJI Agras T40 drone in a commercial area in the municipality of Lindoeste, PR, Brazil. Eight treatments were tested, resulting from the combination of two spray volumes (7 and 10 L ha⁻¹) and four droplet sizes (100, 200, 300, and 400 μm). Deposition was evaluated using water-sensitive papers, analyzing volume median diameter (VMD), covered area (%), droplet density (droplets cm⁻²), and potential drift risk. Hairy fleabane control efficacy was visually assessed at 7 and 14 days after application (DAA), according to the Brazilian Society of Weed Science (SBCPD) methodology. Data were subjected to analysis of variance and regression analysis. Treatments T2 (7 L ha⁻¹ + 200 μm) and T8 (10 L ha⁻¹ + 400 μm) showed the best results, with covered areas of 2.69% and 2.84%, and droplet densities of 79.18 and 57.42 droplets cm⁻², respectively, not differing statistically from each other. Treatment T4 (7 L ha⁻¹ + 400 μm) showed the poorest performance (0.34% coverage). Regression analysis revealed a quadratic relationship between droplet size and covered area, with maximum estimated points at 215 μm (R² = 0.99) for 7 L ha⁻¹ and at 380 μm (R² = 0.58) for 10 L ha⁻¹. Regarding biological efficacy, treatment T5 (10 L ha⁻¹ + 100 μm) provided the highest absolute control at 14 DAA (≈95%), while T2 and T8 showed satisfactory control (≈82% and 64%, respectively), combining good deposition with adequate levels of hairy fleabane suppression. The VMD range between 200 and 300 μm provided the best balance between coverage (>2.5%), density (>50 droplets cm⁻²), and drift risk (<15%). It is concluded that configurations T2 (7 L ha⁻¹ + 200 μm) and T8 (10 L ha⁻¹ + 400 μm) are the most suitable for glufosinate ammonium application via RPA, recommending droplets in the 200–300 μm range to reconcile agronomic efficacy and drift mitigation. "This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001."
publishDate 2026
dc.date.accessioned.fl_str_mv 2026-07-08T14:30:48Z
dc.date.issued.fl_str_mv 2026-02-27
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.language.iso.fl_str_mv por
language por
dc.relation.program.fl_str_mv 2289958089820954741
dc.relation.confidence.fl_str_mv 600
600
600
dc.relation.department.fl_str_mv 2214374442868382015
dc.relation.sponsorship.fl_str_mv 2075167498588264571
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual do Oeste do Paraná
Cascavel
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia de Energia na Agricultura
dc.publisher.initials.fl_str_mv UNIOESTE
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Centro de Ciências Exatas e Tecnológicas
publisher.none.fl_str_mv Universidade Estadual do Oeste do Paraná
Cascavel
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