DiseasePlan - a spreadsheet application for training people to assess disease severity and to assist with standard area diagram development
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência Rural |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000600154 |
Resumo: | ABSTRACT: Several computer applications have been proposed for the visual assessment of plant disease severity; however, they have some restrictions such as not permitting the user to make modifications. Therefore, the VBA-Excel application was developed as a means to train people to estimate disease severity and to validate standard area diagrams through images and disease severity values (percentage, rating or score) inserted into a database. The main performance statistics are screen displayed and spreadsheet recorded. Finally, the authors hope to receive evaluations and feedback regarding this application. |
id |
UFSM-2_7fb6c142715a2b21f62bbdd2f034dc3e |
---|---|
oai_identifier_str |
oai:scielo:S0103-84782017000600154 |
network_acronym_str |
UFSM-2 |
network_name_str |
Ciência rural (Online) |
repository_id_str |
|
spelling |
DiseasePlan - a spreadsheet application for training people to assess disease severity and to assist with standard area diagram developmentphytopathological studiespathometryvisual assessmentABSTRACT: Several computer applications have been proposed for the visual assessment of plant disease severity; however, they have some restrictions such as not permitting the user to make modifications. Therefore, the VBA-Excel application was developed as a means to train people to estimate disease severity and to validate standard area diagrams through images and disease severity values (percentage, rating or score) inserted into a database. The main performance statistics are screen displayed and spreadsheet recorded. Finally, the authors hope to receive evaluations and feedback regarding this application.Universidade Federal de Santa Maria2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000600154Ciência Rural v.47 n.6 2017reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20160924info:eu-repo/semantics/openAccessSachet,Marcos RobsonCitadin,IdemirDanner,Moeses AndrigoGuerrezi,Marieli TeresinhaPertille,Rafael Henriqueeng2017-05-02T00:00:00ZRevista |
dc.title.none.fl_str_mv |
DiseasePlan - a spreadsheet application for training people to assess disease severity and to assist with standard area diagram development |
title |
DiseasePlan - a spreadsheet application for training people to assess disease severity and to assist with standard area diagram development |
spellingShingle |
DiseasePlan - a spreadsheet application for training people to assess disease severity and to assist with standard area diagram development Sachet,Marcos Robson phytopathological studies pathometry visual assessment |
title_short |
DiseasePlan - a spreadsheet application for training people to assess disease severity and to assist with standard area diagram development |
title_full |
DiseasePlan - a spreadsheet application for training people to assess disease severity and to assist with standard area diagram development |
title_fullStr |
DiseasePlan - a spreadsheet application for training people to assess disease severity and to assist with standard area diagram development |
title_full_unstemmed |
DiseasePlan - a spreadsheet application for training people to assess disease severity and to assist with standard area diagram development |
title_sort |
DiseasePlan - a spreadsheet application for training people to assess disease severity and to assist with standard area diagram development |
author |
Sachet,Marcos Robson |
author_facet |
Sachet,Marcos Robson Citadin,Idemir Danner,Moeses Andrigo Guerrezi,Marieli Teresinha Pertille,Rafael Henrique |
author_role |
author |
author2 |
Citadin,Idemir Danner,Moeses Andrigo Guerrezi,Marieli Teresinha Pertille,Rafael Henrique |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Sachet,Marcos Robson Citadin,Idemir Danner,Moeses Andrigo Guerrezi,Marieli Teresinha Pertille,Rafael Henrique |
dc.subject.por.fl_str_mv |
phytopathological studies pathometry visual assessment |
topic |
phytopathological studies pathometry visual assessment |
description |
ABSTRACT: Several computer applications have been proposed for the visual assessment of plant disease severity; however, they have some restrictions such as not permitting the user to make modifications. Therefore, the VBA-Excel application was developed as a means to train people to estimate disease severity and to validate standard area diagrams through images and disease severity values (percentage, rating or score) inserted into a database. The main performance statistics are screen displayed and spreadsheet recorded. Finally, the authors hope to receive evaluations and feedback regarding this application. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000600154 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000600154 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-8478cr20160924 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Rural v.47 n.6 2017 reponame:Ciência Rural instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Rural |
collection |
Ciência Rural |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1749140551325712384 |