FUZZY MODELING OF SALINITY EFFECTS ON PUMPKIN (Cucurbita pepo) DEVELOPMENT
ABSTRACT The low quality of the water currently used for irrigation purposes harms the quality of the products and can lead to a reduction in production. Thus, the objective of this work was to verify the effect of saline water in irrigation water, on biometric variables of pumpkin crop using a syst...
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Format: | Article |
Language: | English |
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Sociedade Brasileira de Engenharia Agrícola
2022-02-01
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Series: | Engenharia Agrícola |
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000100210&tlng=en |
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author | Luís R. A. Gabriel Filho Josué F. Silva Junior Camila P. Cremasco Angela V. de Souza Fernando F. Putti |
author_facet | Luís R. A. Gabriel Filho Josué F. Silva Junior Camila P. Cremasco Angela V. de Souza Fernando F. Putti |
author_sort | Luís R. A. Gabriel Filho |
collection | DOAJ |
description | ABSTRACT The low quality of the water currently used for irrigation purposes harms the quality of the products and can lead to a reduction in production. Thus, the objective of this work was to verify the effect of saline water in irrigation water, on biometric variables of pumpkin crop using a system based on fuzzy rules. The agronomic experimental part of this work was carried out in a greenhouse. The experimental design was in randomized blocks, with 5 doses of salinity (0, 1.25, 2.5, 3.75, and 5 dS m-1) and with 5 repetitions. The salinity doses and evaluations carried out throughout the cycle (days after transplanting) were defined as input variables in the mathematical model. For the output variables, the collected biometric responses were defined: number of leaves, number of flowers, leaf fresh mass, leaf dry mass, stem fresh mass, stem length, root fresh mass, and root length. After evaluation, the mathematical model was developed and its validation was carried out using statistical methods and Receiver Operating Characteristic Curves (ROC). It was observed that salinity affects the bush pumpkin crop with a reduction in the evaluated parameters. The mathematical model proved to be efficient for this evaluation. |
first_indexed | 2024-12-19T12:34:17Z |
format | Article |
id | doaj.art-71809c4268ac43da89e612742aeaf9a1 |
institution | Directory Open Access Journal |
issn | 0100-6916 |
language | English |
last_indexed | 2024-12-19T12:34:17Z |
publishDate | 2022-02-01 |
publisher | Sociedade Brasileira de Engenharia Agrícola |
record_format | Article |
series | Engenharia Agrícola |
spelling | doaj.art-71809c4268ac43da89e612742aeaf9a12022-12-21T20:21:12ZengSociedade Brasileira de Engenharia AgrícolaEngenharia Agrícola0100-69162022-02-0142110.1590/1809-4430-eng.agric.v42n1e20200150/2022FUZZY MODELING OF SALINITY EFFECTS ON PUMPKIN (Cucurbita pepo) DEVELOPMENTLuís R. A. Gabriel Filhohttps://orcid.org/0000-0002-7269-2806Josué F. Silva JuniorCamila P. CremascoAngela V. de SouzaFernando F. PuttiABSTRACT The low quality of the water currently used for irrigation purposes harms the quality of the products and can lead to a reduction in production. Thus, the objective of this work was to verify the effect of saline water in irrigation water, on biometric variables of pumpkin crop using a system based on fuzzy rules. The agronomic experimental part of this work was carried out in a greenhouse. The experimental design was in randomized blocks, with 5 doses of salinity (0, 1.25, 2.5, 3.75, and 5 dS m-1) and with 5 repetitions. The salinity doses and evaluations carried out throughout the cycle (days after transplanting) were defined as input variables in the mathematical model. For the output variables, the collected biometric responses were defined: number of leaves, number of flowers, leaf fresh mass, leaf dry mass, stem fresh mass, stem length, root fresh mass, and root length. After evaluation, the mathematical model was developed and its validation was carried out using statistical methods and Receiver Operating Characteristic Curves (ROC). It was observed that salinity affects the bush pumpkin crop with a reduction in the evaluated parameters. The mathematical model proved to be efficient for this evaluation.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000100210&tlng=enartificial intelligenceagronomyirrigationROC curve |
spellingShingle | Luís R. A. Gabriel Filho Josué F. Silva Junior Camila P. Cremasco Angela V. de Souza Fernando F. Putti FUZZY MODELING OF SALINITY EFFECTS ON PUMPKIN (Cucurbita pepo) DEVELOPMENT Engenharia Agrícola artificial intelligence agronomy irrigation ROC curve |
title | FUZZY MODELING OF SALINITY EFFECTS ON PUMPKIN (Cucurbita pepo) DEVELOPMENT |
title_full | FUZZY MODELING OF SALINITY EFFECTS ON PUMPKIN (Cucurbita pepo) DEVELOPMENT |
title_fullStr | FUZZY MODELING OF SALINITY EFFECTS ON PUMPKIN (Cucurbita pepo) DEVELOPMENT |
title_full_unstemmed | FUZZY MODELING OF SALINITY EFFECTS ON PUMPKIN (Cucurbita pepo) DEVELOPMENT |
title_short | FUZZY MODELING OF SALINITY EFFECTS ON PUMPKIN (Cucurbita pepo) DEVELOPMENT |
title_sort | fuzzy modeling of salinity effects on pumpkin cucurbita pepo development |
topic | artificial intelligence agronomy irrigation ROC curve |
url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000100210&tlng=en |
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