|
|
|
| Registros recuperados: 18 | |
|
| |
|
|
| Oldoni,Lucas V.; Cattani,Carlos E. V.; Mercante,Erivelto; Johann,Jerry A.; Antunes,João F. G.; Almeida,Luiz. |
| ABSTRACT In the state of Paraná, Brazil, there are no major changes in areas cultivated with annual crops, mainly due to environmental laws that do not allow expansions to new areas. There is a great contribution of the annual crops to the domestic demand of food and economic demand in the exports. Thus, the area and distribution of annual crops are information of great importance. New methodologies, such as data mining, are being tested with the objective of analyzing and improving their potential use for classification of land use and land cover. This study used the classifiers decision tree and random forest with Normalized Difference Vegetation Index (NDVI) temporal metrics on images from Operational Land Imager (OLI)/Landsat-8. The results were... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Decision tree; Random forest; NDVI temporal metrics. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019001200952 |
| |
|
|
| Prudente,Victor H. R.; Silva,Bruno B. da; Johann,Jerry A.; Mercante,Erivelto; Oldoni,Lucas V.. |
| ABSTRACT: The traditional per-pixel classification methods consider only spectral information, and may be limited. Object-based classifiers, however, also consider shape and texture, firstly segmenting the image, and then classifying individual objects. Thus, a Geographic Object-Based Image Analysis (GEOBIA) was compared in conjunction with data mining techniques and a traditional per-pixel method. A cut of Landsat-8, bands 2 to 7, orbit/point 223/77, located between the municipalities of Cascavel, Corbélia, Cafelândia and Tupãssi, in the west part of the state of Paraná, from 12/18/2013 was used. In the GEOBIA approach was realized image segmentation, spatial and spectral attribute extraction, and classification using the decision tree supervised... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: GeoDMA; Data mining; Decision tree. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000501015 |
| |
|
| |
|
|
| Celik,Senol; Eyduran,Ecevit; Karadas,Koksal; Tariq,Mohammad Masood. |
| ABSTRACT The present study aimed at comparing predictive performance of some data mining algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of Mengali rams. To compare the predictive capability of the algorithms, the biometrical data regarding body (body length, withers height, and heart girth) and testicular (testicular length, scrotal length, and scrotal circumference) measurements of Mengali rams in predicting live body weight were evaluated by most goodness of fit criteria. In addition, age was considered as a continuous independent variable. In this context, MARS data mining algorithm was used for the first time to predict body weight in two forms, without (MARS_1) and with interaction (MARS_2) terms. The superiority... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: ANN; Artificial intelligence; Data mining; Decision tree; MARS algorithm. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982017001100863 |
| |
|
|
| Cruz-Cárdenas,Gustavo; Ortiz-Solorio,Carlos Alberto; Ojeda-Trejo,Enrique; Martínez-Montoya,Juan Felipe; Sotelo-Ruiz,Erasto Domingo; Licona-Vargas,Atenogenes Leobardo. |
| Map units directly related to properties of soil-landscape are generated by local soil classes. Therefore to take into consideration the knowledge of farmers is essential to automate the procedure. The aim of this study was to map local soil classes by computer-assisted cartography (CAC), using several combinations of topographic properties produced by GIS (digital elevation model, aspect, slope, and profile curvature). A decision tree was used to find the number of topographic properties required for digital cartography of the local soil classes. The maps produced were evaluated based on the attributes of map quality defined as precision and accuracy of the CAC-based maps. The evaluation was carried out in Central Mexico using three maps of local soil... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Decision tree; Digital elevation model; Map quality. |
| Ano: 2011 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832011000300003 |
| |
|
| |
|
|
| Roucan-Kane, Maud; Boehlje, Michael; Gray, Allan W.; Akridge, Jay T.. |
| The objective of this paper is to present the teaching note of a case study. The case study outlines the strategic issues facing Excel Cooperative as a result of the rapid expansion of biofuel production capacity in the Midwestern U.S. Excel Cooperative is a mid-sized, ‘local’, farmer-owned cooperative serving farmers in north central Indiana. Excel is composed of four divisions: agronomy, energy, grain, and feed/livestock. With the Excel case, the reader must think strategically about the broad impacts of the biofuel “boom”, apply strategic management tools and decision-making under uncertainty concepts to better understand the impacts, and frame a response. The methodology proposed in the teaching note is composed of a SWOT analysis, scorecarding and... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Uncertainty; Risk; Heat mapping; Scorecarding; Scenario analysis; Payoff matrix; Decision tree; Real option; Traps; Agribusiness; D81. |
| Ano: 2009 |
URL: http://purl.umn.edu/53584 |
| |
|
| |
|
|
| Mengue,Vagner P.; Fontana,Denise C.; Silva,Tatiana S. da; Zanotta,Daniel; Scottá,Fernando C.. |
| ABSTRACT This study aimed to verify the applicability of using MODIS-EVI sensor time series for land use and vegetation cover mapping in the Pampa biome, Rio Grande do Sul state, Brazil. The study period comprised the months from June 2013 to June 2014. The procedures included the use of MODIS Sensor images, altimetric data and nighttime images, associated with a hierarchical decision tree classifier, constructed using the C4.5 algorithm. The proposed approach stems from the consideration that the study area has varying characteristics and, therefore, should be treated simultaneously by different and intuitive classifiers, which justifies the choice of decision tree. To evaluate the results, reference data acquired from Landsat 8-OLI satellite images and... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Decision tree; Soybean; Multitemporal. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019001100812 |
| |
|
| |
|
|
| Orhan,Hikmet; Eyduran,Ecevit; Tatliyer,Adile; Saygici,Hasan. |
| ABSTRACT This study was conducted on 2049 eggs, collected from commercial white layer hybrids, with the purpose of predicting egg weight (EW) from egg quality characteristics such as shell weight (SW), albumen weight (AW), and yolk weight (YW). In the prediction of EW, ridge regression (RR), multiple linear regression (MLR), and regression tree analysis (RTM) methods were used. Predictive performance of RR and MLR methods was evaluated using the determination coefficient (R2) and variance inflation factor (VIF). R2 (%) coefficients for RR and MLR methods were found as 93.15% and 93.4% without multicollinearity problems due to very low VIF values, varying from 1 to 2, respectively. Being a visual, non-parametric analysis technique, regression tree method... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Chaid algorithm; Data mining; Decision tree; Multiple regression. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982016000700380 |
| |
|
|
| Sarmento,Eliana Casco; Giasson,Elvio; Weber,Eliseu; Flores,Carlos Alberto; Hasenack,Heinrich. |
| The objective of this work was to evaluate sampling density on the prediction accuracy of soil orders, with high spatial resolution, in a viticultural zone of Serra Gaúcha, Southern Brazil. A digital elevation model (DEM), a cartographic base, a conventional soil map, and the Idrisi software were used. Seven predictor variables were calculated and read along with soil classes in randomly distributed points, with sampling densities of 0.5, 1, 1.5, 2, and 4 points per hectare. Data were used to train a decision tree (Gini) and three artificial neural networks: adaptive resonance theory, fuzzy ARTMap; self‑organizing map, SOM; and multi‑layer perceptron, MLP. Estimated maps were compared with the conventional soil map to calculate omission and commission... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Appellation of origin; Decision tree; Digital elevation model; Geographic information systems; Neural network; Soil mapping. |
| Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012000900025 |
| |
|
| |
|
|
| Fellmann, Thomas; Mollers, Judith. |
| Direct income payments (DIP) are in the centre of the discussion in the ongoing political debate whether agricultural policy objectives can be pursued in an economically more efficient and less distorting way. This paper discusses under which circumstances DIP are an appropriate and efficient measure to address the objectives of agricultural policies. It identifies and examines the characteristics that DIP should have in the context of different objectives. If governments want to meet their policy objectives by the use of DIP efficiently, a precise definition of the objective is crucial. An optimal policy design achieves a specific objective while keeping the impact on economic distortions low and ensuring efficiency in the allocation of resources. The... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Direct income payments; Agricultural policy; Policy objectives; Decision tree; Agricultural and Food Policy; Q18; E6; H5. |
| Ano: 2006 |
URL: http://purl.umn.edu/25684 |
| |
|
|
| Bundy, Alida; Shannon, Lynne J.; Rochet, Marie-joelle; Neira, Sergio; Shin, Yunne-jai; Hill, Louize; Aydin, Kerim. |
| Marine ecosystems have been exploited for a long time, growing increasingly vulnerable to collapse and irreversible change. How do we know when an ecosystem may be in danger? A measure of the status of individual stocks is only a partial gauge of its status, and does not include changes at the broader ecosystem level, to non-commercial species or to its structure or functioning. Six ecosystem indicators measuring trends over time were collated for 19 ecosystems, corresponding to four ecological attributes: resource potential, ecosystem structure and functioning, conservation of functional biodiversity, and ecosystem stability and resistance to perturbations. We explored the use of a decision-tree approach, a definition of initial ecosystem state (impacted... |
| Tipo: Text |
Palavras-chave: Comparative approach; Decision tree; Ecosystem classification; Ecosystem indicator; Exploited marine ecosystems. |
| Ano: 2010 |
URL: http://archimer.ifremer.fr/doc/00002/11374/12047.pdf |
| |
|
|
| Roucan-Kane, Maud; Boehlje, Michael; Gray, Allan W.; Akridge, Jay T.. |
| The dramatic changes occurring throughout the agriculture industry are creating an increasingly turbulent business climate for the sector. The objective of this paper is to present a methodology to understand, assess, evaluate, and manage uncertainty. Five methods are discussed: scenario analysis, scorecarding and heat mapping, payoff matrix, decision tree, and options portfolio mapping. Scenario analysis can help identify the alternative futures that may unfold. Scorecarding and heat mapping assessment tools can be used to assess and map the uncertainties, and decide which uncertainties the company should capitalize on and which projects could be pursued to exploit those uncertainties. Payoff matrices and decision trees (using real option valuation)... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Uncertainty; Risk; Heat mapping; Scorecarding; Scenario analysis; Payoff matrix; Decision tree; Real option; Traps; Agribusiness; D81. |
| Ano: 2009 |
URL: http://purl.umn.edu/55465 |
| |
|
|
| Cordeiro,Alexandra F. da S.; Baracho,Marta dos S.; Nääs,Irenilza de A.; Nascimento,Guilherme R. do. |
| Locomotor problems prevent the bird to move freely, jeopardizing the welfare and productivity, besides generating injuries on the legs of chickens. The objective of this study was to evaluate the influence of age, use of vitamin D, the asymmetry of limbs and gait score, the degree of leg injuries in broilers, using data mining. The analysis was performed on a data set obtained from a field experiment in which it was used two groups of birds with 30 birds each, a control group and one treated with vitamin D. It was evaluated the gait score, the asymmetry between the right and left toes, and the degree of leg injuries. The Weka ® software was used in data mining. In particular, C4.5 algorithm (also known as J48 in Weka environment) was used for the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Decision tree; Poultry; Gait score. |
| Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000400003 |
| |
| Registros recuperados: 18 | |
|
|
|
