Models for estimating leaf area in the ‘Palmer’ mango
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Agro@mbiente on-line |
Texto Completo: | https://revista.ufrr.br/agroambiente/article/view/5642 |
Resumo: | Techniques for measuring leaf area are basic for evaluating plant growth in the mango. As such, the aim of this study was to determine the leaf area of the ‘Palmer’ mango using mathematical models proposed by the present study, and compare the results of the proposed models with models available in the literature for other mango cultivars. The mango leaf was simulated as a function of leaf length (L) and width (W) using two distinct geometric models: an ellipse and a rosacea petal. Models found in the literature and determined for other cultivars, were also tested. The values for leaf area were obtained using the ImageJ software and taken at their actual value; these were later compared with the values achieved by the geometric models. The models were tested for quality of prediction through cross-validation. The models proposed in the present study were not superior to the best models found in the literature. The model LA = 3.80 + 0.67 (LW) achieved the best performance, with a mean absolute percentage error (MAPE) of 3.78%. Using only length, the best model was LA = 0.0142C2 + 6.1902C - 49.444, with a MAPE of 4.07%. The use of mathematical models proved to be a suitable option for estimating leaf area in the ‘Palmer’ mango. Moreover, the use of R2 as the only form of model quality assessment can lead to errors in choosing the best model. |
id |
UFRR-4_359336d98eb8108c4660f0a62e8986de |
---|---|
oai_identifier_str |
oai:oai.revista.ufrr.br:article/5642 |
network_acronym_str |
UFRR-4 |
network_name_str |
Agro@mbiente on-line |
repository_id_str |
|
spelling |
Models for estimating leaf area in the ‘Palmer’ mangoFruit farming. Mangifera indica L. Mathematical modelling. Semi-arid region.Techniques for measuring leaf area are basic for evaluating plant growth in the mango. As such, the aim of this study was to determine the leaf area of the ‘Palmer’ mango using mathematical models proposed by the present study, and compare the results of the proposed models with models available in the literature for other mango cultivars. The mango leaf was simulated as a function of leaf length (L) and width (W) using two distinct geometric models: an ellipse and a rosacea petal. Models found in the literature and determined for other cultivars, were also tested. The values for leaf area were obtained using the ImageJ software and taken at their actual value; these were later compared with the values achieved by the geometric models. The models were tested for quality of prediction through cross-validation. The models proposed in the present study were not superior to the best models found in the literature. The model LA = 3.80 + 0.67 (LW) achieved the best performance, with a mean absolute percentage error (MAPE) of 3.78%. Using only length, the best model was LA = 0.0142C2 + 6.1902C - 49.444, with a MAPE of 4.07%. The use of mathematical models proved to be a suitable option for estimating leaf area in the ‘Palmer’ mango. Moreover, the use of R2 as the only form of model quality assessment can lead to errors in choosing the best model.UFRR2019-12-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revista.ufrr.br/agroambiente/article/view/564210.18227/1982-8470ragro.v13i0.5642AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 13 (2019): Edição Continuada; 279-286REVISTA AGRO@MBIENTE ON-LINE; Vol. 13 (2019): Edição Continuada; 279-286REVISTA AGRO@MBIENTE ON-LINE; v. 13 (2019): Edição Continuada; 279-2861982-8470reponame:Agro@mbiente on-lineinstname:Universidade Federal de Roraima (UFRR)instacron:UFRRporhttps://revista.ufrr.br/agroambiente/article/view/5642/2737Copyright (c) 2019 REVISTA AGRO@MBIENTE ON-LINEinfo:eu-repo/semantics/openAccessSantos da Silva Junior, José LuizRodrigues, Marcos SalesBraga, Gabriella AmaralRegis, Ester Silva2019-12-06T15:37:16Zoai:oai.revista.ufrr.br:article/5642Revistahttps://revista.ufrr.br/index.php/agroambientePUBhttps://revista.ufrr.br/index.php/agroambiente/oai||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br1982-84701982-8470opendoar:2019-12-06T15:37:16Agro@mbiente on-line - Universidade Federal de Roraima (UFRR)false |
dc.title.none.fl_str_mv |
Models for estimating leaf area in the ‘Palmer’ mango |
title |
Models for estimating leaf area in the ‘Palmer’ mango |
spellingShingle |
Models for estimating leaf area in the ‘Palmer’ mango Santos da Silva Junior, José Luiz Fruit farming. Mangifera indica L. Mathematical modelling. Semi-arid region. |
title_short |
Models for estimating leaf area in the ‘Palmer’ mango |
title_full |
Models for estimating leaf area in the ‘Palmer’ mango |
title_fullStr |
Models for estimating leaf area in the ‘Palmer’ mango |
title_full_unstemmed |
Models for estimating leaf area in the ‘Palmer’ mango |
title_sort |
Models for estimating leaf area in the ‘Palmer’ mango |
author |
Santos da Silva Junior, José Luiz |
author_facet |
Santos da Silva Junior, José Luiz Rodrigues, Marcos Sales Braga, Gabriella Amaral Regis, Ester Silva |
author_role |
author |
author2 |
Rodrigues, Marcos Sales Braga, Gabriella Amaral Regis, Ester Silva |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Santos da Silva Junior, José Luiz Rodrigues, Marcos Sales Braga, Gabriella Amaral Regis, Ester Silva |
dc.subject.por.fl_str_mv |
Fruit farming. Mangifera indica L. Mathematical modelling. Semi-arid region. |
topic |
Fruit farming. Mangifera indica L. Mathematical modelling. Semi-arid region. |
description |
Techniques for measuring leaf area are basic for evaluating plant growth in the mango. As such, the aim of this study was to determine the leaf area of the ‘Palmer’ mango using mathematical models proposed by the present study, and compare the results of the proposed models with models available in the literature for other mango cultivars. The mango leaf was simulated as a function of leaf length (L) and width (W) using two distinct geometric models: an ellipse and a rosacea petal. Models found in the literature and determined for other cultivars, were also tested. The values for leaf area were obtained using the ImageJ software and taken at their actual value; these were later compared with the values achieved by the geometric models. The models were tested for quality of prediction through cross-validation. The models proposed in the present study were not superior to the best models found in the literature. The model LA = 3.80 + 0.67 (LW) achieved the best performance, with a mean absolute percentage error (MAPE) of 3.78%. Using only length, the best model was LA = 0.0142C2 + 6.1902C - 49.444, with a MAPE of 4.07%. The use of mathematical models proved to be a suitable option for estimating leaf area in the ‘Palmer’ mango. Moreover, the use of R2 as the only form of model quality assessment can lead to errors in choosing the best model. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-06 |
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 |
https://revista.ufrr.br/agroambiente/article/view/5642 10.18227/1982-8470ragro.v13i0.5642 |
url |
https://revista.ufrr.br/agroambiente/article/view/5642 |
identifier_str_mv |
10.18227/1982-8470ragro.v13i0.5642 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revista.ufrr.br/agroambiente/article/view/5642/2737 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 REVISTA AGRO@MBIENTE ON-LINE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 REVISTA AGRO@MBIENTE ON-LINE |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UFRR |
publisher.none.fl_str_mv |
UFRR |
dc.source.none.fl_str_mv |
AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 13 (2019): Edição Continuada; 279-286 REVISTA AGRO@MBIENTE ON-LINE; Vol. 13 (2019): Edição Continuada; 279-286 REVISTA AGRO@MBIENTE ON-LINE; v. 13 (2019): Edição Continuada; 279-286 1982-8470 reponame:Agro@mbiente on-line instname:Universidade Federal de Roraima (UFRR) instacron:UFRR |
instname_str |
Universidade Federal de Roraima (UFRR) |
instacron_str |
UFRR |
institution |
UFRR |
reponame_str |
Agro@mbiente on-line |
collection |
Agro@mbiente on-line |
repository.name.fl_str_mv |
Agro@mbiente on-line - Universidade Federal de Roraima (UFRR) |
repository.mail.fl_str_mv |
||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br |
_version_ |
1789436778222977024 |