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Knowledge-based digital soil mapping for predicting soil properties in two representative watersheds Scientia Agricola
Menezes,Michele Duarte de; Silva,Sérgio Henrique Godinho; Mello,Carlos Rogério de; Owens,Phillip Ray; Curi,Nilton.
ABSTRACT: The estimation of soil physical and chemical properties at non-sampled areas is valuable information for land management, sustainability and water yield. This work aimed to model and map soil physical-chemical properties by means of knowledge-based digital soil mapping approach as a study case in two watersheds representative of different physiographical regions in Brazil. Two watersheds with contrasting soil-landscape features were studied regarding the spatial modeling and prediction of physical and chemical properties. Since the method uses only one value of soil property for each soil type, the way of choosing typical values as well the role of land use as a covariate in the prediction were tested. Mean prediction error (MPE) and root mean...
Tipo: Info:eu-repo/semantics/article Palavras-chave: ANOVA test; Spatial variability; Fuzzy logic; Typical values.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162018000200144
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Solum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approaches Scientia Agricola
Menezes,Michele Duarte de; Silva,Sérgio Henrique Godinho; Mello,Carlos Rogério de; Owens,Phillip Ray; Curi,Nilton.
Solum depth and its spatial distribution play an important role in different types of environmental studies. Several approaches have been used for fitting quantitative relationships between soil properties and their environment in order to predict them spatially. This work aimed to present the steps required for solum depth spatial prediction from knowledge-based digital soil mapping, comparing the prediction to the conventional soil mapping approach through field validation, in a watershed located at Mantiqueira Range region, in the state of Minas Gerais, Brazil. Conventional soil mapping had aerial photo-interpretation as a basis. The knowledge-based digital soil mapping applied fuzzy logic and similarity vectors in an expert system. The knowledge-based...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil survey; Fuzzy logic; Similarity vectors.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162014000400009
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Fuzzy Water Irrigation System using Internet of Things CIGR Journal
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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Fuzzy subset approach in coupled population dynamics of blowflies Biol. Res.
CASTANHO,MARÍA J.P.; MAGNAGO,KARINE F; BASSANEZI,RODNEY C; GODOY,WESLEY A.C..
This paper is a study on the population dynamics of blowflies employing a density-dependent, non-linear mathematical model and a coupled population formalism. In this study, we investigated the coupled population dynamics applying fuzzy subsets to model the population trajectory, analyzing demographic parameters such as fecundity, survival, and migration. The main results suggest different possibilities in terms of dynamic behavior produced by migration in coupled populations between distinct environments and the rescue effect generated by the connection between populations. It was possible to conclude that environmental heterogeneity can play an important role in blowfly metapopulation systems. The implications of these results for population dynamics of...
Tipo: Journal article Palavras-chave: Fuzzy logic; Blowflies; Coupled populations; Population biology.
Ano: 2006 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602006000200016
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Estimating the average length of hospitalization due to pneumonia: a fuzzy approach BJMBR
Nascimento,L.F.C.; Rizol,P.M.S.R.; Peneluppi,A.P..
Exposure to air pollutants is associated with hospitalizations due to pneumonia in children. We hypothesized the length of hospitalization due to pneumonia may be dependent on air pollutant concentrations. Therefore, we built a computational model using fuzzy logic tools to predict the mean time of hospitalization due to pneumonia in children living in São José dos Campos, SP, Brazil. The model was built with four inputs related to pollutant concentrations and effective temperature, and the output was related to the mean length of hospitalization. Each input had two membership functions and the output had four membership functions, generating 16 rules. The model was validated against real data, and a receiver operating characteristic (ROC) curve was...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Air pollutants; Fuzzy logic; Pneumonia; Particulate matter; Sulfur dioxide.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2014001100977
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Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision Ciência Rural
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
Registros recuperados: 26
Primeira ... 12 ... Última
 

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