Consulta: subjectFacets:"Computational model"
Registros recuperados: 4
Data/hora: 11/06/2024 18:43:42

Economic analysis for sizing of sugarcane (Saccharum spp.) mechanized harvesting
Provedor de dados: 70
Autores: Santos,Neisvaldo B. dos; Silva,Rouverson P. da; Gadanha Junior,Casimiro D.
Sugarcane has a significant role on Brazilian agribusiness economy. The harvesting cane is considered as one of the most important operations of the process for it has to attend the raw material demanded by the sugar mill in quality and a competitive cost. The objective of this work it is it of analyzing, of systemic way, the variables influence on economical and operational performance in sugarcane mechanized harvesting process for sizing of machines. For this purpose a model called "ColheCana", was developed in a spreadsheet and in a programming language. The results showed that the field efficiency and harvester´s initial value are variables of great impact in the cost and that there is a maximum area that one equipment can attend and for this area the...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Agricultural mechanization; Sugarcane harvester; Computational model.
Ano: 2014
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000500013

SIMULATION OF DISTANCE BETWEEN FIELD AND REPLENISHMENT PUMP IN MECHANIZED SPRAYING OF SUGARCANE (Saccharum spp.)
Provedor de dados: 70
Autores: Santos,Neisvaldo B. dos.
ABSTRACT Brazil is the world's largest producer of sugarcane destined for mills. Spraying in sugarcane plantations is carried out in extensive cultivation areas and with self-propelled, tractor-driven, and aerial hydraulic equipment. For this, a good positioning of the replenishment pump of agricultural defensives close to the field where the spraying is carried out is necessary. However, it is desirable that the replenishment be carried out at short distances between the field and replenishment pump. This study aimed to assess the impact of the distance between the field and replenishment pump on the operational cost of hydraulic sprayers for sugarcane farming practices. Due to the difficulty in accomplishing the work and meeting the objective under field...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Cost; Agricultural mechanization; Computational model; Hydraulic sprayers; Planning and management.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000500805

Um modelo computacional para estudar a influência dos anticorpos na manutenção da memória imunológica.
Provedor de dados: 14
Autores: CASTRO, A. de; FRONZA, C. F.; GIACHETTO, P. F.; ALVES, D.
Este artigo apresenta um modelo computacional para estudar a evolução temporal do repertório clonal, incluindo populações de anticorpos. O modelo proposto também foi utilizado para estudar o comportamento da memória imunológica quando populações antigênicas são inoculadas aleatoriamente para simular um processo de mutação viral. Os resultados das simulações realizadas sugerem que um decréscimo na produção de anticorpos favorece a manutenção global da memória imunológica. O modelo aqui exposto permite representar a geração, manutenção e regulação da memória imunológica de uma forma mais completa, através de uma rede de memória, que combina as características da teoria de seleção clonal de F. M. Burnet e a hipótese de rede de N. K. Jerne, considerando...
Tipo: Boletim de Pesquisa e Desenvolvimento (INFOTECA-E)
Palavras-chave: Modelo computacional; Memória imunológica; Mutação antigênica; Antigenic mutation; Immune memory.; Computational model; Imunologia.
Ano: 2009
URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/662776

Artificial neural network model for simulation of water distribution in sprinkle irrigation
Provedor de dados: 91
Autores: Menezes,Paulo L. de; Azevedo,Carlos A. V. de; Eyng,Eduardo; Dantas Neto,José; Lima,Vera L. A. de.
ABSTRACTDetermining uniformity coefficients of sprinkle irrigation systems, in general, depends on field trials, which require time and financial resources. One alternative to reduce time and expense is the use of simulations. The objective of this study was to develop an artificial neural network (ANN) to simulate sprinkler precipitation, using the values ​​of operating pressure, wind speed, wind direction and sprinkler nozzle diameter as the input parameters. Field trials were performed with one sprinkler operating in a grid of 16 x 16, collectors with spacing of 1.5 m and different combinations of nozzles, pressures, and wind conditions. The ANN model showed good results in the simulation of precipitation, with Spearman's correlation coefficient (rs)...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Sprinkler; Water distribution uniformity; Artificial intelligence; Computational model.
Ano: 2015
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662015000900817