111 research outputs found
Copepod parasites of Curimatella lepidura (Characiformes, Curimatidae) from the Três Marias Reservoir, Brazil
Metazoan parasite of lambari Astyanax altiparanae, collected from the Peixe river, São Paulo, southeast of Brazil
Occurrence Angiostrongylus vasorum (Baillet, 1866) (Nematoda, Angiostrongylidae) in Cerdocyon thous Linnaeus, 1766 (Carnivora, Canidae) in Minas Gerais State Brazil
Generating fuzzy rules by learning from olive tree transpiration measurement - An algorithm to automatize Granier sap flow data analysis
The present study aims at developing an intelligent system of automating data analysis and prediction
embedded in a fuzzy logic algorithm (FAUSY) to capture the relationship between environmental variables
and sap flow measurements (Granier method). Environmental thermal gradients often interfere
with Granier sap flow measurements since this method uses heat as a tracer, thus introducing a bias in
transpiration flux calculation. The FAUSY algorithm is applied to solve measurement problems and provides
an approximate and yet effective way of finding the relationship between the environmental variables
and the natural temperature gradient (NTG), which is too complex or too ill-defined for precise
mathematical analysis. In the process, FAUSY extracts the relationships from a set of input–output environmental
observations, thus general directions for algorithm-based machine learning in fuzzy systems
are outlined. Through an iterative procedure, the algorithm plays with the learning or forecasting via a
simulated model. After a series of error control iterations, the outcome of the algorithm may become
highly refined and be able to evolve into a more formal structure of rules, facilitating the automation
of Granier sap flow data analysis. The system presented herein simulates the occurrence of NTG with reasonable
accuracy, with an average residual error of 2.53% for sap flux rate, when compared to data processing
performed in the usual way. For practical applications, this is an acceptable margin of error given
that FAUSY could correct NTG errors up to an average of 76% of the normal manual correction process. In
this sense, FAUSY provides a powerful and flexible way of establishing the relationships between the
environment and NTG occurrencesinfo:eu-repo/semantics/publishedVersio
Structure of the parasite infracommunity of Sciades proops from the Japaratuba River Estuary, Sergipe, Brazil
Metazoários parasitos de seis espécies de peixes do Reservatório de Lajes, Estado do Rio de Janeiro, Brasil
Parasitismo de Gallus Gallus (Linnaeus, 1758) por espécies de Phthiraptera em criações coloniais na região sul do Rio Grande Do Sul, Brasil
Gill metazoan parasites of the spotted goatfish Pseudupeneus maculatus (Ostheichthyes: Mullidae) from the Coast of Pernambuco, northeastern Brazil
Dispharynx nasuta (Nematoda: Acuariidae) em Guira guira e Crotophaga ani (Cuculiformes: Cuculidae) no Estado do Rio Grande do Sul, Brasil
- …