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| Registros recuperados: 27 | |
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| Fritzsch, Jana. |
| European politicians encourage the income diversification of rural households through various measures. Although being aware of farm households’ potential for non-farm income diversification seems important for finely-targeting such policy measures, no attempt has thus far been made to summarise the various determinants of income diversification in a single figure. This contribution aims to close this gap. A composite fuzzy indicator that measures farm household potential for non-farm income diversification is developed and applied to 1,053 farm households in Bulgaria, Hungary, Poland, Romania, and Slovenia. The indicator summarises the incentives of and capacities for non-farm income diversification on the individual household member level, and on the... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Composite indicator; Fuzzy logic; Rural non-farm income diversification; Transition countries; Consumer/Household Economics; C65; J24; Q12; R23. |
| Ano: 2011 |
URL: http://purl.umn.edu/114349 |
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| Szesz Junior,Albino; Monteiro Junior,Marcos; Dias,Ariangelo Hauer; Mathias,Ivo Mário; Conti,Giuvane. |
| ABSTRACT: Aeration is currently the most commonly used technique to improve the drying and storage of grain, depending on temperature and water content of the grain, as of the temperature and relative humidity of the outside air. In order to monitor temperature and humidity of the grain mass, it is possible to have a network of sensors in the cells of both internal and external storage. Use of artificial intelligence through Fuzzy theory, has been used since the 60s and enables their application on various forms. Thus, it is observed that the aeration of grain in function of representing a system of controlled environment can be studied in relation to the application of this theory. Therefore, the aim of this paper is to present an embedded Fuzzy control... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Arduino; Agriculture; Mathematical model; Fuzzy logic; Grain aeration. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016001101917 |
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| Lima,Julião Soares de Sousa; Silva,Samuel de Assis; Santos,Adilson Almeida dos; Altoé,Marcelo Soares. |
| ABSTRACT Knowledge of the spatial variability of soil attributes is an aid to soil management. The aim of this study was to apply fuzzy logic and geostatistics in defining the spatial variability of soil fertility, in soil cultivated with the rubber tree. Soil samples from the 0-0.20 m and 0.20-0.40 m layers were collected in a stratified random sampling grid, with a shortest distance of 6 m, for a total of 60 points. The chemical attributes were P, K, Ca, Mg, BS, CEC and V. The spatial dependence of the attributes was determined, and the maps were constructed using ordinary kriging interpolation. The interpolated values were transformed into degrees of pertinence (FI), with the lower and upper limits previously defined, using an increasing model. The... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil management; Map of fertility; Fuzzy logic. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000200228 |
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| Abreu,Lucas H. P.; Yanagi Junior,Tadayuki; Campos,Alessandro T.; Lourençoni,Dian; Bahuti,Marcelo. |
| ABSTRACT Broiler chickens submitted to different intensities and durations of thermal stress are subject to variation in cloacal temperature and, consequently, to a decrease in performance. Given the complexity of these interactions, artificial intelligence is a useful methodology for decision-making. Thus, this study aimed to assess and predict, by means of a fuzzy model, the cloacal temperature of broiler chickens submitted to thermal stress in the second week of life, with varying durations and intensities, in climatized wind tunnels. Mamdani's inference and defuzzification methods by means of the center of gravity were used. One hundred and twenty rules were elaborated. The developed fuzzy model was used to predict the cloacal temperature of broiler... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Physiological response; Thermal environment; Mathematical modeling; Fuzzy logic. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000100018 |
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| 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 |
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| 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 |
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| 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 |
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| Dhumale, Rakesh Dhumale. |
| Water is basic source of the farming with limited storage. Out of available land 64% is engaged by the farming and needs nearly 85 % of clean water of total water storage. Proper irrigation helps to improve quality of soil and the growth of crops. The farmer depending upon condition of soil and available water resource has to apply intelligence to get realistic decisions to reduce the wastage of water and ensure full utilization of the water. This gives challenging opportunity to pertain theory and idea of Artificial Intelligence (AI) in the process of water irrigation. In this paper, an intelligent approach for the water irrigation of crop is proposed. Smart Fuzzy Water Irrigation System (FWIS) using Internet of Things (IoT) includes two types of nodes... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Irrigation system; Fuzzy logic; Internet of Things; Soil parameters.. |
| Ano: 2023 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/5398 |
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| Leclerc, Christian; CIRAD, UMR AGAP, Montpellier, France; christian.leclerc@cirad.fr; Mwongera, Caroline ; Montpellier SupAgro, Montpellier, France; carolmwongera@yahoo.com. |
| In studying indigenous climate knowledge, two approaches can be envisioned. In the first, traditional knowledge is a cultural built-in object; conceived as a whole, its relevance can be assessed by referring to other cultural, economic, or technical components at work within an indigenous society. In the second, the accuracy of indigenous climate knowledge is assessed with western science knowledge used as an external reference. However, assessing the accuracy of indigenous climate knowledge remains a largely untapped area. We aim to show how accurate the culturally built indigenous climate knowledge of extreme climatic events is, and how amenable it is to fuzzy logic. A retrospective survey was carried out individually and randomly among 195 Eastern... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Climate change; Drought; Ecological anthropology; Fuzzy logic; Kenya; Meru; Traditional ecological knowledge. |
| Ano: 2013 |
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| Fritzsch, Jana; Buchenrieder, Gertrud; Mollers, Judith. |
| A fuzzy logic model for quantifying farm households’ potential for non-farm income diversification is developed and applied to 1,077 farm households in Bulgaria, Hungary, Poland, Romania, and Slovenia. About three quarters of households have a diversification potential, but not all households use it. An analysis of diversification potential and diversification behaviour shows that there are seven household types in the sample. Not all development options, i.e. farm development, farm exit, or starting non-farm employment, are equally suitable for all households thus fine targeting of policy measures according to the household type could be important for policy makers. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Rural development; Non-farm rural employment diversification; Fuzzy logic; Transition countries; Community/Rural/Urban Development; C65; D33; J24; Q12. |
| Ano: 2010 |
URL: http://purl.umn.edu/95321 |
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| Bahuti,Marcelo; Abreu,Lucas H. P.; Yanagi Junior,Tadayuki; Lima,Renato R. de; Campos,Alessandro T.. |
| ABSTRACT This study aimed to compare fuzzy systems with different configurations to predict the surface temperature (ts) of broiler chickens subjected to different intensities and durations of thermal challenges in the second week of life. Data on the ts of broiler chickens aged 8 to 11 days were acquired by infrared thermography and subjected to combinations of four dry-bulb temperatures (tdb) (24, 27, 30, and 33 °C) and four durations of thermal challenges (DTC) (1, 2, 3, or 4 days). The input variables of the fuzzy systems were tdb and DTC, and the output variable was ts. The Mamdani inference method involving five defuzzification methods [center of gravity (centroid), bisector of the area (bisector), largest of maximum (lom), middle of maximum (mom),... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Pertinence functions; Fuzzy logic; Defuzzification methods; Fuzzy inference methods; Chicks; Infrared thermography. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000600813 |
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| Lourençoni,Dian; Abreu,Paulo G. de; Yanagi Junior,Tadayuki; Campos,Alessandro T.; Yanagi,Silvia de N. M.. |
| ABSTRACT The selection of the type of fuzzy systems pertinence curve allows a better representation of the mathematical model and a smaller simulation error. We aimed to study the effect of pertinence curves in fuzzy modeling of broiler performance, created in different production systems. For the development and testing of fuzzy models, three commercial aviaries (conventional, tunnel with negative pressure, and dark house) were evaluated over one year, totaling six lots per system. For the development of the model, the input variables were enthalpy in each rearing phase (initial: phases 1, 2, and 3; growth: phase 4; and final: phase 5) and the output variables were feed intake (FE), weight gain (GP), feed conversion (FE), and the productive efficiency... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Poultry farming; Production performance; Artificial intelligence; Fuzzy logic. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000300265 |
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| Registros recuperados: 27 | |
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