Forecasting Crop
Mostrando 1-12 de 14 artigos, teses e dissertações.
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1. YIELD RESPONSE FACTOR (KY) FOR WINTER CORN CROP IN THE REGION OF DOURADOS, MS, BRAZIL
ABSTRACT Plant yield is strongly influenced by the amount of water used by it. In this sense, yield response factor (Ky) allows evaluating the decrease in yield as a function of the evapotranspiration that occurs, which may be an important tool for harvest forecasting. Therefore, this study aimed to determine Ky for winter corn crop grown in the region of Do
Eng. Agríc.. Publicado em: 04/11/2019
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2. Two approaches to calculate TVDI in humid subtropical climate of southern Brazil
ABSTRACT: Soybean crops occupy most areas in Rio Grande do Sul State and are highly dependent on rainfall since most of them are non-irrigated. Rainfall during the harvest period is often insufficient to meet the water demand, making water indicators an important tool for the crops. This study compared two approaches in the parameterization process of TVDI (
Sci. agric. (Piracicaba, Braz.). Publicado em: 2018-04
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3. Correlation maps to assess soybean yield from EVI data in Paraná State, Brazil
ABSTRACT Vegetation indices are widely used to monitor crop development and generally used as input data in models to forecast yield. The first step of this study consisted of using monthly Maximum Value Composites to create correlation maps using Enhanced Vegetation Index (EVI) from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor mounted on Ter
Sci. agric. (Piracicaba, Braz.). Publicado em: 2016-10
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4. Estimation of sugar cane productivity using a time series of AVHRR/NOAA-17 images and a phenology-spectral model.
Despite the economic and social importance of agribusiness in Brazil, the accurate estimation of the production of its main agricultural crops, such as sugar cane, is still a big challenge to the Country. Thus this work has the objective to assess a methodology based on the use of a phenology-spectral model proposed by Pellegrino (2001) and a time series of
INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES. Publicado em: 2011
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5. Relationship between the spectral response of sugar cane, based on AVHRR/NOAA satellite images, and the climate condition, in the state of São Paulo (Brazil), from 2001 to 2008.
The objective of this work was analyze the correlation between time series of an agroclimatic index (WRSI) and the spectral response (NDVI) of sugar cane based on images of AVHRR/NOAA satellites, in producing regions of the state of Sao Paulo (Brazil), from 2001 to 2008. The use of time series of AVHRR/NOAA images having subsequent growing seasons improved t
INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES. Publicado em: 2011
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6. Identification of sugar cane fields in the state of sao paulo using a time series of AVHRR/NOAA satellite images.
Brazil is the first world producer of sugar cane. Despite the economic and social importance of agribusiness to Brazil, it is still difficult to estimate the harvest of the its main agricultural crops with the precision and anticipation needed, justifying the study and development of new methods based on the use of remote sensing data, for example. Even cons
INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES. Publicado em: 2011
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7. Modelo de estimativa de rendimento de soja no Estado do Rio Grande do Sul.
Este trabalho teve como objetivo parametrizar e validar o modelo multiplicativo de Jensen modificado para a estimativa do rendimento da cultura da soja no Estado do Rio Grande do Sul, em condições de lavoura. O ajuste foi feito usando dados meteorológicos de seis estações localizadas na região de produção significativa dessa cultura e dados de rendim
Pesquisa Agropecuaria Brasileira. Publicado em: 2011
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8. Mining relevant and extreme patterns on climate time series with CLIPSMiner.
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensi?cation of natural hazards. Another problem of changes in the Earth?s climate is its impact in the agriculture production. In this scenario, application of statistical models as well as developme
Journal of Information and Data Management. Publicado em: 2011
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9. Modelagem matemática na previsão de colheita de bananeira: regressão linear múltipla x redes neurais artificiais / Mathematical modeling to predict crop of banana: multiple regression x neural networks
One of the barriers relevant to the banana crop in Brazil is the lack of productive commercial varieties with adequate size, resistant to major pests and diseases and adapted to different ecosystems. The development of cultivars is the strategy for solving this problem through breeding programs, as well as its characterization and evaluation in areas of prod
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 07/12/2010
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10. SEVERIDADE DE OCORRÊNCIA DE MANCHA DE SEPTÓRIA E PRODUTIVIDADE DO GIRASSOL IRRIGADO / SEVERITY OF OCCURRENCE OF SEPTORIA LEAF SPOT AND YIELD OF IRRIGATED SUNFLOWER
This study aimed to evaluate the severity of occurrence of septoria leaf spot in sunflower, its association with meteorological variables and its effect on yield of field irrigated sunflower. The experiments were conducted in Santa Maria - RS during the 2008 spring season and during the 2009 fall growing season, with sowings in September and in February, res
Publicado em: 2010
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11. Process of knowledge discovery in databases for analysis and warning of crop diseases and its application on coffee rust / Processo de descoberta de conhecimento em bases de dados para a analise e o alerta de doenças de culturas agricolas e sua aplicação na ferrugem do cafeeiro
Sistemas de alerta de doenças de plantas permitem racionalizar o uso de agrotóxicos, mas são pouco utilizados na prática. Complexidade dos modelos, dificuldade de obtenção dos dados necessários e custos para o agricultor estão entre as razões que inibem o seu uso. Entretanto, o desenvolvimento tecnológico recente - estações meteoro lógicas autom
Publicado em: 2008
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12. Utilização de perfis multi-temporais do NDVI/AVHRR no acompanhamento da safra de soja no oeste do Parana / Use of NDVI/AVHRR time-series profiles for soybean crop monitoring in the west of Parana, Brazil
Crop yield forecasting systems are important sources of information for helping Governrnent and private institutions in agricultural trade matters. The traditional methods of crop yield forecasting norma1ly do not provide precise estimations, due to its subjectivity. The use of Geothecnology has been studied for the development of more efficient crop yield f
Publicado em: 2007