|
|
|
|
|
| Acuayte Valdés, Erik. |
| A nivel internacional existe una tendencia hacia la predicción de probabilidades para planeación de estrategias de manejo del riesgo de plagas. Esta investigación propone una herramienta cuantitativa para el Análisis de Riesgo de Plagas (ARP), con un estudio de caso: Cochinilla Rosada del Hibisco en aguacate. El método se basa en el uso de árboles de decisión, datos estadísticos, conocimiento del ambiente, del cultivo y biología de la plaga. Mediante encuestas a expertos se obtuvieron valores de probabilidad, en escala de 1 a 100. Se encontró que la probabilidad de entrada de la plaga aumentaría si las inspecciones en puntos de ingreso y cordones fitosanitarios fueran eliminadas. La probabilidad de establecimiento es alta debido al gran número de... |
|
Palavras-chave: Maconellicoccus hirsutus; Aguacate; Arboles de decisión; Herramienta cuantitativa; ARP; Decision trees; Quantitative avocado; Fitopatología; Maestría. |
| Ano: 2012 |
URL: http://hdl.handle.net/10521/720 |
| |
|
|
| Costa,José Janderson Ferreira; Giasson,Elvio; Silva,Elisângela Benedet da; Campos,Alcinei Ribeiro; Machado,Israel Rosa; Bonfatti,Benito Roberto; Bacic,Ivan Luiz Zilli. |
| Abstract: The objective of this work was to disaggregate the polygons of physiographic map units in order to individualize the soil classes in each one, representing them as simple soil map units and generating a more detailed soil map than the original one, making these data more useful for future reference. A physiographic map, on a 1:25,000 scale, of the Tarumãzinho watershed, located in the municipality of Águas Frias, in the state of Santa Catarina, Brazil, was used. For disaggregation, three geomorphometric parameters were applied: slope and landforms, both derived from the digital terrain model; and an elevation map. The boundaries of the physiographic units and the elevation, slope, and landform maps were subjected to cross tabulation to identify... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Decision trees; Digital soil mapping; Pedology; Soil class prediction. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000103807 |
| |
|
|
| Singgih, Shinta; Gray, David I.; Cameron, Ewen. |
| Market pressure is forcing New Zealand greenhouse tomato growers to shift from conventional to more environmentally-friendly pest control methods such as IPM (Integrated Pest Management). Growers can access IPM manuals, but these tend to provide generalized advice, which they find difficult to apply to their own situations. Alternatively, growers can use consultants to tailor IPM strategies to their own situations. One method of providing growers with better advice is to capture the knowledge of "expert" consultants and translate this into a form that can be used by growers. To this end, two consultants with expertise in IPM strategy were studied and their knowledge documented. This paper focuses on the strategies the expert consultants used to tailor... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Decision trees; Consultants; Encarsia; Greenhouse tomato; Farm Management. |
| Ano: 2003 |
URL: http://purl.umn.edu/24396 |
| |
|
|
| Roucan-Kane, Maud; Boehlje, Michael; Gray, Allan W.; Akridge, Jay T.. |
| The business climate for the agricultural sector is characterized by increased uncertainty and “unanticipated surprises,” such as new government regulations, new technology and product introductions, mergers and acquisitions, nonperformance by supply chain partners, and changes in interest and exchange rates. This manuscript uses a real case problem to describe a set of tools(such as scenario analysis, risk scorecarding and heat mapping, payoff matrices, decision trees, and options portfolio mapping) available to use for making strategic decisions in such a business climate. |
| Tipo: Working or Discussion Paper |
Palavras-chave: Scorecarding and heat mapping; Decision trees; Scenario analysis; Payoff matrices; Real options; Agribusiness; Q13. |
| Ano: 2010 |
URL: http://purl.umn.edu/98052 |
| |
|
|
| Gunderson, Michael A.; Roucan, Maud; Boehlje, Michael; Gray, Allan W.. |
| This teaching case focuses on the application of decision tools to assist managers making choices in an uncertain business climate. The case considers the difficult task of introducing a new product into the market. Under consideration is a sophisticated, surface-scanning technology that has applications in the food processing, food retail, and health industry sectors. Management of eMerge Interactive is faced with uncertainties in legislation, demand, and competitor response. The case can be used as part of a course in strategy and/or risk management where tools such as influence diagrams, scenario and payoff matrices, decision trees, and real options are introduced. |
| Tipo: Journal Article |
Palavras-chave: Risk management; Influence diagrams; Payoff matrices; Decision trees; And real options; Marketing. |
| Ano: 2006 |
URL: http://purl.umn.edu/8200 |
| |
|
| |
|
|
| Pelegrino,Marcelo Henrique Procópio; Silva,Sérgio Henrique Godinho; Menezes,Michele Duarte de; Silva,Elidiane da; Owens,Phillip Ray; Curi,Nilton. |
| ABSTRACT Existing soil maps (legacy data) associated with digital mapping techniques are alternatives to obtain information at lower costs, however, tests are required to do it more efficiently. This study had as objectives to compare different methods to extract information from detailed scale soil maps using decision trees for mapping soil classes at two watersheds in Minas Gerais, validate these maps in the field and use the best method to extrapolate information to larger areas, also validating these maps of larger areas. Detailed soil maps of Vista Bela creek (VBW) and Marcela creek (MCW) watersheds were used as source of information. Seven methods to extract information from maps were compared: the whole polygon, eliminating 20 and 40 m from the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Decision trees; Pedology; Tropical soils. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542016000500534 |
| |
|
|
|
