Crop Forecast
Mostrando 1-12 de 18 artigos, teses e dissertações.
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1. Validation of white oat yield estimation models using vegetation indices
ABSTRACT The use of remote sensing in agriculture presents some practical applications in crop production forecast. In this context, studies with remote sensing are scarce for crops such as white oats, which may indicate the capacity of using this technique in the crop. The aim of this study was to evaluate the accuracy in validation of white oat biomass and
Bragantia. Publicado em: 2020-06
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2. 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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3. Impact of sugarcane trash on fertilizer requirements for São Paulo, Brazil
The area under mechanized sugarcane (Saccharum spp.) harvesting is expanding in Brazil, increasing the return of trash to the soil. The main questions regarding this management are: (i) after adopting unburned mechanical harvesting, how long will it take to observe decreases in fertilizer requirements, (ii) what will be the magnitude of this decrease and, (i
Sci. agric. (Piracicaba, Braz.). Publicado em: 2013-10
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4. Soy production area estimates in Mato Grosso, Brazil, using MODIS NDVI time series.
Brazil is the second largest soy producer in the world, with an estimated crop of 57 million tons in 2008/2009 season (CONAB). Total planted area accounted for 21.7 million ha, 26% of which is located in Mato Grosso state (MT). Given the large extent of Brazilian soy production and its economical impact for both national and international markets, crop area
MEETING OF THE AMERICAN. Publicado em: 2011
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5. Relacoes entre a producao de laranjeira 'Westin' e as precipitacoes em Botucatu, SP.
O trabalho estuda a correlacao entre a producao de um pomar de laranja, plantado no altiplano de Botucatu, SP, com as precipitacoes que ocorrem dezesseis meses antes da colheira e a idade do pomar. As plantas eram de laranjeira doce (Citrus sinensis (L.) Osbeck), variedade Westin, de clone nucelar, enxertadas em porta-enxerto de limoeiro 'Cravo' (Citrus limo
Pesquisa Agropecuaria Brasileira. Publicado em: 2011
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6. 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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7. Data mining climatic for frost and deficit hidric forescast / Mineração de dados climaticos para previsão local de geada e deficiencia hidrica
The losses that occur in agriculture are high, mainly due to the occurrence of crop damages due to climatic events. Many times, the social and economic impacts caused by the damages are significant, since they involve factors such as the production and the price of foods. For example, coffee and sugarcane production in São Paulo State suffer alternations mo
Publicado em: 2008
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8. Sthocastic model to estimate the soybean productivity in the State of São Paulo through bivaried normal simulation / Modelo estocástico para estimação da produtividade de soja no Estado de São Paulo utilizando simulação normal bivariada
The availability of resources, as much of financial order and human labor, is scarse. Therefore, it must stimulates the regional planning that minimizes the use of resources. Then, the forecast of harvests through modelling techniques must previously on the basis of be carried through the regional characteristics, thus indicating the routes of the research,
Publicado em: 2007
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9. Relations between growth analysis, yield and remote sensing of sugarcane / Relação entre indicadores de crescimento e de produção da cana-de-açucar e dados espectrais terrestres e orbitais
The knowledge about the relations between agronomic variables and spectral data is a challenging issue when adopting remote sensing technique for crop yield forecast. This study analyses the relationship between sugarcane agronomic variables and spectral data derived from field spectroscopy and orbital data. One commercial field of sugarcane with the variety
Publicado em: 2007
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10. Modelo de predicción de riesgo de daño de la mosca pinta Aeneolamia postica (Walker) Fennah (Hemiptera: Cercopidae)
This paper evaluated the risk that Aenolamia postica (Walker) Fennah populations reach the economic threshold in sugar cane fields in Veracruz, México. A risk deductive model was constructed to include the sequence of events leading to damaging populations, considered the top event or critical failure in the crop. Model events were identified and quantified
Neotropical Entomology. Publicado em: 2006-10
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11. Previsão de atributos do clima e do rendimento de grãos de milho na região Centro-Sul do Brasil / Forecast of climatic features and corn grain yield in the Brazilian Center-South region
Crop forecast has become an important tool for the private and public agricultural policies to be established. Generally, crop forecast is composed by climatic forecast and the yield estimative of growth of economically interesting parts of crops. The climatic forecast can be performed through the analyses of historical series of the climatic features and of
Publicado em: 2006
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12. EVALUATIONN OF FORECAST SYSTEMS FOR PREDICTING Phytophthora infestans OCCURRENCE IN POTATO / AVALIAÇÃO DE SISTEMAS DE PREVISÃO DE OCORRÊNCIA DE Phytophthora infestans EM BATATA.
Late blight in the most important disease of potato crop and it may cause major yield losses in a matter of a few days. The use of forecast modls or systems to predict diseases has the potential of reducing the number of fungicide applications, which reduces production costs, the ocurrence risks of severe epidemics, and environmental pollution. The objective
Publicado em: 2006