Weed control assessed visually and by aerial images

Detalhes bibliográficos
Autor(a) principal: Campos, Saulo Felipe Brockes
Data de Publicação: 2021
Outros Autores: Cunha, João Paulo Arantes Rodrigues da, Lemes, Ernane Miranda
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Brasileira Multidisciplinar
Texto Completo: http://revistarebram.com/index.php/revistauniara/article/view/977
Resumo: The employment of remotely piloted aircraft (RPA) for obtaining images in the field has grown and can assist the of management of weeds, however, the software for analysis and processing of images need to be tested under different conditions for the development of routines and validation of results. Therefore, the objective of this work was to correlate the results of the methodology of visual assessment (using scale of notes) with the results of the processing of aerial images with the software SisCob® and ImageJ® for the analysis of the occurrence and effectiveness of weed control. The comparisons were made in ten areas with different levels of weed infestation. A fallow area with four months has been submitted to the different treatments of chemical control with glyphosate herbicide, including a control without application, varying application rate (50, 90 and 150 L ha-1), the addition of adjuvant and presence of electrostatic spray. After 35 days of herbicide application, each area was assessed visually, and, in parallel, the area was overflied done the overflying the area with a RPA for image collection and subsequent digital processing, using both softwares for quantification in percentage of the control with the herbicide. All tested correlations (Pearson, Spearman and Kendall) were significant and positive, indicating that the use of RPA for image collection and their processing by means of the software demonstrated potential as an alternative for the evaluation of weed control, which may replace the visual assessment with operator in the field, avoiding the subjectivity and slowness in the evaluations.
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spelling Weed control assessed visually and by aerial imagesControle de plantas daninhas avaliado visualmente e por imagens aéreasagricultura de precisãomonitoramento agrícolaplantas infestantes processamento de imagens.Precision AgricultureAgricultural MonitoringWeedsImage ProcessingThe employment of remotely piloted aircraft (RPA) for obtaining images in the field has grown and can assist the of management of weeds, however, the software for analysis and processing of images need to be tested under different conditions for the development of routines and validation of results. Therefore, the objective of this work was to correlate the results of the methodology of visual assessment (using scale of notes) with the results of the processing of aerial images with the software SisCob® and ImageJ® for the analysis of the occurrence and effectiveness of weed control. The comparisons were made in ten areas with different levels of weed infestation. A fallow area with four months has been submitted to the different treatments of chemical control with glyphosate herbicide, including a control without application, varying application rate (50, 90 and 150 L ha-1), the addition of adjuvant and presence of electrostatic spray. After 35 days of herbicide application, each area was assessed visually, and, in parallel, the area was overflied done the overflying the area with a RPA for image collection and subsequent digital processing, using both softwares for quantification in percentage of the control with the herbicide. All tested correlations (Pearson, Spearman and Kendall) were significant and positive, indicating that the use of RPA for image collection and their processing by means of the software demonstrated potential as an alternative for the evaluation of weed control, which may replace the visual assessment with operator in the field, avoiding the subjectivity and slowness in the evaluations.O emprego de aeronaves remotamente pilotadas (ARPs) para obtenção de imagens no campo tem crescido e pode auxiliar o manejo de plantas daninhas, contudo, os softwares para análise e processamento das imagens precisam ser testados sob diferentes condições para o desenvolvimento das rotinas e validação dos resultados. O objetivo deste trabalho foi correlacionar os resultados da metodologia de avaliação visual, com escala de notas, com os resultados do processamento de imagens com os softwares SisCob® e ImageJ®, na análise da ocorrência e eficácia de controle de plantas daninhas. As comparações foram feitas em dez áreas com diferentes níveis de infestação de plantas daninhas. A partir de uma área em pousio há quatro meses, submeteu-se a mesma a diferentes tratamentos de controle químico com herbicida glifosato, incluindo uma testemunha sem aplicação, variando taxa de aplicação (50, 90 e 150 L ha-1), adição de adjuvante e presença de pulverização eletrostática. Após 35 dias da aplicação do herbicida, cada uma das áreas foi avaliada visualmente, e paralelamente foi feito o sobrevoo com uma ARP para coleta das imagens aéreas e posterior processamento digital, usando os dois softwares para quantificação em percentagem do controle com o herbicida. Todas as correlações testadas (Pearson, Spearman e Kendall) foram significativas e positivas, indicando que o uso de ARPs para coleta de imagens e seu processamento através dos softwares demonstraram potencial como alternativa para a avaliação da infestação e controle de plantas daninhas, podendo substituir a avaliação visual com operador a campo, evitando a subjetividade e a morosidade.Revista Brasileira Multidisciplinar - ReBraM2021-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://revistarebram.com/index.php/revistauniara/article/view/97710.25061/2527-2675/ReBraM/2021.v24i3.977Revista Brasileira Multidisciplinar - ReBraM; v. 24 n. 3 (2021): Setembro-Dezembro; 216-2252527-26751415-3580reponame:Revista Brasileira Multidisciplinarinstname:Universidade de Araraquara (UNIARA)instacron:UNIARAporhttp://revistarebram.com/index.php/revistauniara/article/view/977/741Copyright (c) 2021 Revista Brasileira Multidisciplinarhttps://creativecommons.org/licenses/by-nd/4.0info:eu-repo/semantics/openAccessCampos, Saulo Felipe BrockesCunha, João Paulo Arantes Rodrigues daLemes, Ernane Miranda2022-08-10T16:00:03Zoai:ojs.revistarebram.com:article/977Revistahttp://revistarebram.com/index.php/revistauniaraPRIhttps://revistarebram.com/index.php/revistauniara/oairevistauniara@uniara.com||2527-26752527-2675opendoar:2022-08-10T16:00:03Revista Brasileira Multidisciplinar - Universidade de Araraquara (UNIARA)false
dc.title.none.fl_str_mv Weed control assessed visually and by aerial images
Controle de plantas daninhas avaliado visualmente e por imagens aéreas
title Weed control assessed visually and by aerial images
spellingShingle Weed control assessed visually and by aerial images
Campos, Saulo Felipe Brockes
agricultura de precisão
monitoramento agrícola
plantas infestantes
processamento de imagens.
Precision Agriculture
Agricultural Monitoring
Weeds
Image Processing
title_short Weed control assessed visually and by aerial images
title_full Weed control assessed visually and by aerial images
title_fullStr Weed control assessed visually and by aerial images
title_full_unstemmed Weed control assessed visually and by aerial images
title_sort Weed control assessed visually and by aerial images
author Campos, Saulo Felipe Brockes
author_facet Campos, Saulo Felipe Brockes
Cunha, João Paulo Arantes Rodrigues da
Lemes, Ernane Miranda
author_role author
author2 Cunha, João Paulo Arantes Rodrigues da
Lemes, Ernane Miranda
author2_role author
author
dc.contributor.author.fl_str_mv Campos, Saulo Felipe Brockes
Cunha, João Paulo Arantes Rodrigues da
Lemes, Ernane Miranda
dc.subject.por.fl_str_mv agricultura de precisão
monitoramento agrícola
plantas infestantes
processamento de imagens.
Precision Agriculture
Agricultural Monitoring
Weeds
Image Processing
topic agricultura de precisão
monitoramento agrícola
plantas infestantes
processamento de imagens.
Precision Agriculture
Agricultural Monitoring
Weeds
Image Processing
description The employment of remotely piloted aircraft (RPA) for obtaining images in the field has grown and can assist the of management of weeds, however, the software for analysis and processing of images need to be tested under different conditions for the development of routines and validation of results. Therefore, the objective of this work was to correlate the results of the methodology of visual assessment (using scale of notes) with the results of the processing of aerial images with the software SisCob® and ImageJ® for the analysis of the occurrence and effectiveness of weed control. The comparisons were made in ten areas with different levels of weed infestation. A fallow area with four months has been submitted to the different treatments of chemical control with glyphosate herbicide, including a control without application, varying application rate (50, 90 and 150 L ha-1), the addition of adjuvant and presence of electrostatic spray. After 35 days of herbicide application, each area was assessed visually, and, in parallel, the area was overflied done the overflying the area with a RPA for image collection and subsequent digital processing, using both softwares for quantification in percentage of the control with the herbicide. All tested correlations (Pearson, Spearman and Kendall) were significant and positive, indicating that the use of RPA for image collection and their processing by means of the software demonstrated potential as an alternative for the evaluation of weed control, which may replace the visual assessment with operator in the field, avoiding the subjectivity and slowness in the evaluations.
publishDate 2021
dc.date.none.fl_str_mv 2021-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://revistarebram.com/index.php/revistauniara/article/view/977
10.25061/2527-2675/ReBraM/2021.v24i3.977
url http://revistarebram.com/index.php/revistauniara/article/view/977
identifier_str_mv 10.25061/2527-2675/ReBraM/2021.v24i3.977
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://revistarebram.com/index.php/revistauniara/article/view/977/741
dc.rights.driver.fl_str_mv Copyright (c) 2021 Revista Brasileira Multidisciplinar
https://creativecommons.org/licenses/by-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Revista Brasileira Multidisciplinar
https://creativecommons.org/licenses/by-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Revista Brasileira Multidisciplinar - ReBraM
publisher.none.fl_str_mv Revista Brasileira Multidisciplinar - ReBraM
dc.source.none.fl_str_mv Revista Brasileira Multidisciplinar - ReBraM; v. 24 n. 3 (2021): Setembro-Dezembro; 216-225
2527-2675
1415-3580
reponame:Revista Brasileira Multidisciplinar
instname:Universidade de Araraquara (UNIARA)
instacron:UNIARA
instname_str Universidade de Araraquara (UNIARA)
instacron_str UNIARA
institution UNIARA
reponame_str Revista Brasileira Multidisciplinar
collection Revista Brasileira Multidisciplinar
repository.name.fl_str_mv Revista Brasileira Multidisciplinar - Universidade de Araraquara (UNIARA)
repository.mail.fl_str_mv revistauniara@uniara.com||
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