Weed control assessed visually and by aerial images
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
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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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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1797174606895775744 |