Consulta: creatorFacets:"Putti,Fernando F."
Registros recuperados: 5
Data/hora: 12/06/2024 06:37:28

FUZZY MODELING OF THE EFFECTS OF IRRIGATION AND WATER SALINITY IN HARVEST POINT OF TOMATO CROP. PART I: DESCRIPTION OF THE METHOD
Provedor de dados: 70
Autores: Viais Neto,Daniel dos S.; Cremasco,Camila P.; Bordin,Deyver; Putti,Fernando F.; Silva Junior,Josué F.; Gabriel Filho,Luís R. A.
ABSTRACT It was used statistical techniques for the evaluation of agricultural experiments, but there are mathematical theories that allow finer adjustments, highlighting among them, the fuzzy logic. The objective of the study was characterizing a method of fuzzy modeling from an agronomic experiment. For this study it was used data from an experiment conducted at the School of Agriculture of São Paulo State University (UNESP) in Botucatu-SP. The system input variables based in fuzzy rules were soil water tension and doses of water salinity, being defined three fuzzy sets. The output variables was elected from the biometric and productivity analysis that showed statistically significant differences, namely, plant height, stem diameter, leaf area, green...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Fuzzy logic; Drought; Salt stress; Crop management.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000300294

FUZZY MODELING IN ORANGE PRODUCTION UNDER DIFFERENT DOSES OF SEWAGE SLUDGE AND WASTEWATER
Provedor de dados: 70
Autores: Putti,Fernando F.; Lanza,Marcio H.; Filho,Hélio G.; Cremasco,Camila P.; Souza,Angela V.; Gabriel Filho,Luís R. A.
ABSTRACT The present work aimed to develop mathematical fuzzy models to evaluate the effects of different doses of sewage sludge and irrigation with wastewater and potable water. Such models were elaborated from an experiment carried out at the Faculty of Agronomic Sciences, in the Department of Soil and Environmental Resources, from the Sao Paulo State University, in Brazil. The experiment was carried out in a randomized block design, in a 6 × 2 factorial scheme, with 6 doses of sewage sludge (0, 25, 50, 75, 100 and 125 of the recommended dose of N), and in the presence and absence of wastewater. In the development of the fuzzy model, the Mamdani method was used for the defuzzification. As input variables, the doses of sewage sludge and the types of water...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Fuzzy logic; Organic matter; Biosolid; Reuse water; Mamdani method.
Ano: 2021
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162021000200204

Application of fuzzy logic for the evaluation of livestock slaughtering
Provedor de dados: 70
Autores: Gabriel Filho,Luís R. A.; Cremasco,Camila P.; Putti,Fernando F.; Chacur,Marcelo G. M.
The fuzzy logic admits infinite intermediate logical values between false and true. With this principle, it developed in this study a system based on fuzzy rules, which indicates the body mass index of ruminant animals in order to obtain the best time to slaughter. The controller developed has as input the variables weight and height, and as output a new body mass index, called Fuzzy Body Mass Index (Fuzzy BMI), which may serve as a detection system at the time of livestock slaughtering, comparing one another by the linguistic variables "Very Low", "Low", "Average ", "High" and "Very High". For demonstrating the use application of this fuzzy system, an analysis was made with 147 Nellore beeves to determine Fuzzy BMI values for each animal and indicate the...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Corporal index; Controlling mass fuzzy; Quantitative method.
Ano: 2011
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000400019

FUZZY MODELING ON WHEAT PRODUCTIVITY UNDER DIFFERENT DOSES OF SLUDGE AND SEWAGE EFFLUENT
Provedor de dados: 70
Autores: Putti,Fernando F.; Kummer,Ana C. B.; Grassi Filho,Helio; Gabriel Filho,Luís R. A.; Cremasco,Camila P.
ABSTRACT: This study aimed to evaluate the effects of fertilization with composted sewage sludge and irrigation with drinking water (DW) and fertigation with wastewater (WW) in wheat crop using fuzzy rule-based system. The experiment was conducted in the Department of Soil and Environmental Resources, of FCA, UNESP - Botucatu, with factorial 6 × 2, which were applied 6 doses of sewage sludge (0, 50, 100, 150, 200 and 250% of nitrogen recommendation) and two types of effluents (treated water and sewage). In the developing of the system based in fuzzy rules, it was used the Mamdani inference method, where the input variables were sewage sludge doses and water types and the output variables used were the number of tillers, length and number spike per plant;...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Sustainability; Nitrogen; Mamdani; Fuzzy system.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000601103

FUZZY MODELING OF THE EFFECTS OF IRRIGATION AND WATER SALINITY IN HARVEST POINT OF TOMATO CROP. PART II: APPLICATION AND INTERPRETATION
Provedor de dados: 70
Autores: Viais Neto,Daniel dos S.; Cremasco,Camila P.; Bordin,Deyver; Putti,Fernando F.; Silva Junior,Josué F.; Gabriel Filho,Luís R. A.
ABSTRACT Tomato, the most popular greenery, is characterized by being a demanding crop in water and when in prolonged and severe drought, has limitations in its growth and reduction in productivity. In addition, this vegetable is affected by excess salinity in the water, which causes leaf wilting, apex and leaf edges burn until their death. Such effects generally are studied using statistical analysis, but there are mathematical theories that allow finer adjustments, highlighting among them, the fuzzy logic. The objective of this study was to evaluate the effects on the growth and yield of hybrid tomato from different water tensions in the soil and different salinity doses in the irrigation at 120 days after sowing using fuzzy modeling. It was used data...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Fuzzy logic; Hydro potential; Drought; Salt stress.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000300305