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Registro Completo |
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
25/06/2003 |
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Data da última atualização: |
31/07/2009 |
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Autoria: |
CRUVINEL, P. E.; PUGSLEY, L.; CARAMORI, P. H.; PAZINATTO, F. A. C. |
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Afiliação: |
Embrapa Instrumentação Agropecuária, São Carlos, SP. |
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Título: |
Advanced methodology for zones of risk optimization in agriculture. |
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Ano de publicação: |
2002 |
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Fonte/Imprenta: |
In: CRUVINEL, P. E.; MASCARENHAS, S. (Ed.). Advanced studies in agricultural instrumentation. São Carlos: Rima: Embrapa Instrumentação Agropecuária, 2002. Cap. 8, p. 167-202. |
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Idioma: |
Inglês |
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Conteúdo: |
Introduction; Algorithms and techniques for images description and interpretation generated from environmental parameters for decision-making; Context for digital image processing; Historical contex for digital image processing; Fundamentals of digital image processing; Spatial resolution and sampling; Quantization; Steps for digital image processing; Problem domain results; A decision-making model in the process of mapping agroclimatic risk zones; Choice of culture and region; Calculation of the hydrological balance for a period of ten days and the culture cycle; Calculation of the frequency of occurrence for climatic risk factors; Performation for the regression between the frost probability and geodesics co-ordinates; Interpolation of climatic risk factors; Combination of climatic risk maps and definition the growing seeds; Segmentation of maps for each period of ten days; Calculation of parameters for the segmented regions; Classification of segmented regions; Generation of maps of sowing times with lower climatic risk; Object-modelling system for mapping the climatic risk digital image; Object-models; Dynamic model; Functional model; Object-modelling tasks; System analysis; Object design; Requirement specifications and system object-model for mapping climatic risk digital images; input information requirements; Output information requirements; Interface requirements; Object classes recognition in the system for mapping climatic risk digital images; Object-model for the classification system of climatic risk digital images; Dynamic model's classification system of climatic risk digital images; Normal scenario for classification of sowing times for the classification step of digital images; Normal scenario for updating meteorological data; Acknowledgments; Bibliography. MenosIntroduction; Algorithms and techniques for images description and interpretation generated from environmental parameters for decision-making; Context for digital image processing; Historical contex for digital image processing; Fundamentals of digital image processing; Spatial resolution and sampling; Quantization; Steps for digital image processing; Problem domain results; A decision-making model in the process of mapping agroclimatic risk zones; Choice of culture and region; Calculation of the hydrological balance for a period of ten days and the culture cycle; Calculation of the frequency of occurrence for climatic risk factors; Performation for the regression between the frost probability and geodesics co-ordinates; Interpolation of climatic risk factors; Combination of climatic risk maps and definition the growing seeds; Segmentation of maps for each period of ten days; Calculation of parameters for the segmented regions; Classification of segmented regions; Generation of maps of sowing times with lower climatic risk; Object-modelling system for mapping the climatic risk digital image; Object-models; Dynamic model; Functional model; Object-modelling tasks; System analysis; Object design; Requirement specifications and system object-model for mapping climatic risk digital images; input information requirements; Output information requirements; Interface requirements; Object classes recognition in the system for mapping climatic risk digital images; Object-model for the ... Mostrar Tudo |
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Palavras-Chave: |
Metodologias avançadas; Processamento de imagem. |
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Thesagro: |
Agronegócio; Tomada de Decisão. |
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Categoria do assunto: |
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Marc: |
LEADER 02514naa a2200205 a 4500
001 1024776
005 2009-07-31
008 2002 bl --- 0-- u #d
100 1 $aCRUVINEL, P. E.
245 $aAdvanced methodology for zones of risk optimization in agriculture.
260 $c2002
520 $aIntroduction; Algorithms and techniques for images description and interpretation generated from environmental parameters for decision-making; Context for digital image processing; Historical contex for digital image processing; Fundamentals of digital image processing; Spatial resolution and sampling; Quantization; Steps for digital image processing; Problem domain results; A decision-making model in the process of mapping agroclimatic risk zones; Choice of culture and region; Calculation of the hydrological balance for a period of ten days and the culture cycle; Calculation of the frequency of occurrence for climatic risk factors; Performation for the regression between the frost probability and geodesics co-ordinates; Interpolation of climatic risk factors; Combination of climatic risk maps and definition the growing seeds; Segmentation of maps for each period of ten days; Calculation of parameters for the segmented regions; Classification of segmented regions; Generation of maps of sowing times with lower climatic risk; Object-modelling system for mapping the climatic risk digital image; Object-models; Dynamic model; Functional model; Object-modelling tasks; System analysis; Object design; Requirement specifications and system object-model for mapping climatic risk digital images; input information requirements; Output information requirements; Interface requirements; Object classes recognition in the system for mapping climatic risk digital images; Object-model for the classification system of climatic risk digital images; Dynamic model's classification system of climatic risk digital images; Normal scenario for classification of sowing times for the classification step of digital images; Normal scenario for updating meteorological data; Acknowledgments; Bibliography.
650 $aAgronegócio
650 $aTomada de Decisão
653 $aMetodologias avançadas
653 $aProcessamento de imagem
700 1 $aPUGSLEY, L.
700 1 $aCARAMORI, P. H.
700 1 $aPAZINATTO, F. A. C.
773 $tIn: CRUVINEL, P. E.; MASCARENHAS, S. (Ed.). Advanced studies in agricultural instrumentation. São Carlos: Rima: Embrapa Instrumentação Agropecuária, 2002. Cap. 8, p. 167-202.
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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| Registros recuperados : 5 | |
| 4. |  | CRUVINEL, P. E.; PUGSLEY, L.; CARAMORI, P. H. Modelagem para tomada de decisão sobre zona de risco em sistemas agrícolas com técnicas de processamento digital de imagens. In: COUTO, E. G.; BUENO, J. F. (Org.). Os (des) caminhos do uso da água na agricultura brasileira. Cuiabá, MT: UFMT, SBCS, 2004. p. 337-374. Originalmente em:
CRUVINEL, P. E.; PUGSLEY, L.; CARAMORI, P. H. Modelagem para otimização de zona de risco em sistemas agrícolas. In: REUNIÃO BRASILEIRA DE MANEJO E CONSERVAÇÃO DO SOLO E DA ÁGUA, 14., 2002, Cuiabá. Anais......| Biblioteca(s): Embrapa Instrumentação. |
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| Registros recuperados : 5 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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