Soil-app: a tool for soil analysis interpretation
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Scientia Agrícola (Online) |
Texto Completo: | https://www.revistas.usp.br/sa/article/view/183127 |
Resumo: | New apps have changed the traditional way of learning and teaching; they are also applied as a quickly executed and effective method in agriculture. Soil-app is a web application with a friendly click-point interface built through packages lodged in R software. The app is an advanced model of an open-source platform to support teaching and learning activities in soil analyses and fertilizer recommendations. Soil-app includes soil test interpretation, soil amendment calculations (lime and gypsum), the fertilizer rate for the most important crops in Brazil, an NPK blend calculator, and NPK blend evaluation. It also includes experimental statistical analysis as applied to soil science. Soil-app is a user-friendly and high-performance tool, garnering fast adoption by both students and professionals. It is available for network use through the following link: http://www.genetica.esalq.usp.br/alogamas/R.html |
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oai:revistas.usp.br:article/183127 |
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Scientia Agrícola (Online) |
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|
spelling |
Soil-app: a tool for soil analysis interpretationsoftwarefertilizersrecommendationpredictionstatistical analysesNew apps have changed the traditional way of learning and teaching; they are also applied as a quickly executed and effective method in agriculture. Soil-app is a web application with a friendly click-point interface built through packages lodged in R software. The app is an advanced model of an open-source platform to support teaching and learning activities in soil analyses and fertilizer recommendations. Soil-app includes soil test interpretation, soil amendment calculations (lime and gypsum), the fertilizer rate for the most important crops in Brazil, an NPK blend calculator, and NPK blend evaluation. It also includes experimental statistical analysis as applied to soil science. Soil-app is a user-friendly and high-performance tool, garnering fast adoption by both students and professionals. It is available for network use through the following link: http://www.genetica.esalq.usp.br/alogamas/R.htmlUniversidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2021-01-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/18312710.1590/1678-992X-2019-0113Scientia Agricola; v. 78 n. 1 (2021); e20190113Scientia Agricola; Vol. 78 Núm. 1 (2021); e20190113Scientia Agricola; Vol. 78 No. 1 (2021); e201901131678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/183127/169844Copyright (c) 2021 Scientia Agricolahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessMatias, Filipe Inácio Sabadin, José Felipe Gonzaga Moreira, Lílian Angélica Gomes, Marcos Henrique Feresin Mira, Acácio Bezerra de Fritsche-Neto, Roberto Otto, Rafael 2021-03-12T19:33:24Zoai:revistas.usp.br:article/183127Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2021-03-12T19:33:24Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Soil-app: a tool for soil analysis interpretation |
title |
Soil-app: a tool for soil analysis interpretation |
spellingShingle |
Soil-app: a tool for soil analysis interpretation Matias, Filipe Inácio software fertilizers recommendation prediction statistical analyses |
title_short |
Soil-app: a tool for soil analysis interpretation |
title_full |
Soil-app: a tool for soil analysis interpretation |
title_fullStr |
Soil-app: a tool for soil analysis interpretation |
title_full_unstemmed |
Soil-app: a tool for soil analysis interpretation |
title_sort |
Soil-app: a tool for soil analysis interpretation |
author |
Matias, Filipe Inácio |
author_facet |
Matias, Filipe Inácio Sabadin, José Felipe Gonzaga Moreira, Lílian Angélica Gomes, Marcos Henrique Feresin Mira, Acácio Bezerra de Fritsche-Neto, Roberto Otto, Rafael |
author_role |
author |
author2 |
Sabadin, José Felipe Gonzaga Moreira, Lílian Angélica Gomes, Marcos Henrique Feresin Mira, Acácio Bezerra de Fritsche-Neto, Roberto Otto, Rafael |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Matias, Filipe Inácio Sabadin, José Felipe Gonzaga Moreira, Lílian Angélica Gomes, Marcos Henrique Feresin Mira, Acácio Bezerra de Fritsche-Neto, Roberto Otto, Rafael |
dc.subject.por.fl_str_mv |
software fertilizers recommendation prediction statistical analyses |
topic |
software fertilizers recommendation prediction statistical analyses |
description |
New apps have changed the traditional way of learning and teaching; they are also applied as a quickly executed and effective method in agriculture. Soil-app is a web application with a friendly click-point interface built through packages lodged in R software. The app is an advanced model of an open-source platform to support teaching and learning activities in soil analyses and fertilizer recommendations. Soil-app includes soil test interpretation, soil amendment calculations (lime and gypsum), the fertilizer rate for the most important crops in Brazil, an NPK blend calculator, and NPK blend evaluation. It also includes experimental statistical analysis as applied to soil science. Soil-app is a user-friendly and high-performance tool, garnering fast adoption by both students and professionals. It is available for network use through the following link: http://www.genetica.esalq.usp.br/alogamas/R.html |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-06 |
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://www.revistas.usp.br/sa/article/view/183127 10.1590/1678-992X-2019-0113 |
url |
https://www.revistas.usp.br/sa/article/view/183127 |
identifier_str_mv |
10.1590/1678-992X-2019-0113 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/183127/169844 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Scientia Agricola http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Scientia Agricola http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
dc.source.none.fl_str_mv |
Scientia Agricola; v. 78 n. 1 (2021); e20190113 Scientia Agricola; Vol. 78 Núm. 1 (2021); e20190113 Scientia Agricola; Vol. 78 No. 1 (2021); e20190113 1678-992X 0103-9016 reponame:Scientia Agrícola (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Scientia Agrícola (Online) |
collection |
Scientia Agrícola (Online) |
repository.name.fl_str_mv |
Scientia Agrícola (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
scientia@usp.br||alleoni@usp.br |
_version_ |
1800222794498179072 |