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Registros recuperados: 152 | |
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Nimmermark, Sven. |
In regions with a colder climate the use of heat energy for climatization of greenhouses can be significant. Beside outdoor temperatures and climate also transpiration affects the use of heat energy since heating and ventilation or dehumidification may be required in order to keep the humidity in the greenhouse below levels which may lead to plant diseases. A reliable model is a powerful tool to predict energy use for greenhouse cultivation. Thus, a mechanistic model including transpiration and energy use for dehumidification and hourly output data was developed from an older simpler model. To be reliable, modelled data must fit with real data. The aim of the present study is to compare measured and modelled use of heat energy. Thus, energy use for a... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Greenhouses; Energy; Measurements; Modelling. |
Ano: 2015 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3100 |
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Sayago,S; Bocco,M. |
Development of models for crop yield prediction using remote sensing allows accurate, reliable and timely estimations over large areas. Particularly, this information is necessary to ensure the adequacy of a nation's food supply as well as to aid policy makers and farmers. In Argentina, soybean (Glycine max (L.) Merr.) and corn (Zea mays L.) are the most important crops. The goal of this research was to develop and evaluate linear and non-linear models to estimate crop yield from satellite data. Particularly, we proposed and applied those models to obtain soybean and corn yield in the central region of Córdoba (Argentina) using Landsat and SPOT images. The models were designed taking into account all or some bands included in the images from one or both... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Neural networks; Multiple linear regression; Soybean; Corn; Modelling. |
Ano: 2018 |
URL: http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1668-298X2018000100001 |
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OLIVEIRA,LAIO Z.; KLITZKE,ALINE R.; FANTINI,ALFREDO C.; ULLER,HEITOR F.; CORREIA,JEAN; VIBRANS,ALEXANDER C.. |
Abstract The majority of Atlantic Forest fragments in Southern Brazil are second-growth forests dominated by fast-growing species with considerable market-value timber. Nevertheless, volume prediction models are scarce, especially to estimate tree total volume (i.e., stem plus branches). This study approached the issue through the following aims: to fit and select stem and total volume models (generic and species-specific) using data from 288 harvested trees in a management operation, and to fit generic and species-specific bark factors. The power model embedding diameter at breast height (D) and tree stem or total height (H) presented the greatest prediction strength for both stem and total tree volume. Models including only D to predict total tree volume... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Forest inventory; Mata Atlântica; Modelling; Regression. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000703729 |
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YILMAZ,BURCIN; CAKMAK,HULYA; TAVMAN,SEBNEM. |
Abstract: In this study effects of ultrasonic pretreatment with different sonication sources on drying behavior of carrot slices were evaluated. Fresh carrot slices were pretreated with ultrasonic probe at 65, 75 and 85 W or ultrasonic bath at 10, 20 and 30°C for 3, 5 and 10 min before air drying. Water gain % and solid loss % of pretreated samples were calculated and color values, β-carotene content and rehydration ratios of dried samples were determined. Drying behavior of the pretreated samples was evaluated and the drying data were fitted to thin layer drying models. Constant drying rate period was not observed for the carrot slices; however two definite falling-rate periods having different slopes were obtained. Drying time was significantly reduced... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Carrot; Ultrasound; Β-carotene; Rehydration; Modelling. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000500905 |
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Pereira,André Belmont; Villa Nova,Nilson Augusto; Ramos,Valdir Josué; Pereira,Antonio Roberto. |
There is currently a great deal of interest in estimating crop productivity as a function of climatic elements by means of different crop weather models. An agrometeorological model is presented based on carbon dioxide assimilation maximum rates for C3 plants, fraction of photosynthetically active radiation, air temperature, photoperiod duration, and crop parameters under tropical climate conditions. Such crop parameters include leaf area and harvest indexes, dry matter content of potato tubers, and crop cycles to estimate potato potential yields. Field data from observed productivity obtained with the cultivar Itararé (IAC-5986), grown under adequate soil water supply conditions at four different regions in the State of São Paulo (Itararé, Piracicaba,... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Modelling; Solanum tuberosum L.; Climatic elements; Crop indexes; Yield. |
Ano: 2008 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052008000200008 |
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Manohar,Abhilash. |
In this work, modelling of Neuraminidase protein of Influenza A virus (A/Himeji/1/2009(H1N1)) neuraminidase (NA) protein was done using Modeller 9V2. Modelled structure was submitted to protein model database and could be downloaded using accession number PM0075830. The modelled protein structure was subjected to In silco analysis using various bioinformatics tools. Two anti-influenza drugs currently being used to treat infected patients are oseltamivir (Tamiflu) and zanamivir (Relenza), both of which target the neuraminidase enzyme of the virus. Reports of the emergence of drug resistance make the development of new anti-influenza molecules a priority. Hence the modelled structure of H1NI Neuraminidase could be very useful for in silico analysis of... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: H1N1; Neuraminidase; Modelling; In silico analysis. |
Ano: 2011 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132011000100003 |
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Zhou,Kang; Gui,Meng; Li,Pinglan; Xing,Shaohua; Cui,Tingting; Peng,Zhaohui. |
Vibrio harveyi is considered as a causative agent of the systemic disease, vibriosis, which occurs in many biological fields. The effects of temperatures (12.9-27.1 ºC) and water activity (NaCl% 0.6%-3.4%) on V. harveyi were investigated. The behavior and growth characteristics of V. harveyi was studied and modeled. Growth curves were fitted by using Gompertz and Baranyi models, and the Baranyi model showed a better fittness. Then, the maximum growth rates (µmax) and lag phase durations (LPD, λ) obtained from both Gompertz and Baranyi model were modeled as a combination function of temperature and water activity using the response surface and Arrhenius-Davey models for secondary model. The value of r², MSE, bias and accuracy factor suggest Baranyi model... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Vibrio harveyi; Modelling; Temperature; Water activity. |
Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822012000400018 |
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Monteiro,Alessandra Nardina Trícia Rigo; Bertol,Teresinha Marisa; Kessler,Alexandre de Mello. |
ABSTRACT: Optimizing nutrient efficiency is essential in order to increase sustainability of pig production systems, especially where the growing demand for food must be met at an affordable cost, without compromising environmental resources. To make this happen, it is necessary to develop efficient methods to accurately estimate the nutritional requirements of animals, as well as develop equipment and systems that allow for applying such expertise in the production system. Estimating the nutritional requirement of pigs through mathematical models, considering several factors that can impact the requirement, is a key factor to reduce the environmental load from pig production. Likewise, feed formulation and feeding programs, can help to achieve this. In... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Diet formulation; Environmental impact; Modelling; Nutritional requirement; Pig. |
Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000700653 |
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Registros recuperados: 152 | |
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