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| Registros recuperados: 59 | |
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| Tedeschi,Luis Orlindo; Fonseca,Mozart Alves; Muir,James Pierre; Poppi,Dennis P.; Carstens,Gordon E.; Angerer,Jay P.; Fox,Danny Gene. |
| ABSTRACT Despite tremendous advancements in the livestock sector, additional opportunities exist to improve even further livestock production around the globe. Forecasting is not an exact science and it relies heavily on past and current knowledge. Improvements in the nutritional sciences (both human and animal) include a better understanding of agents that cause deterioration of human health, improving the quality of animal products, applying effective fetal programming, developing new feeds and feeding strategies, and revisiting longstanding technologies. Improvements in the understanding of the rumen microbiome will enable scientists to increase the fermentation efficiency and, hopefully, select microbial species of greater interest. Improvements in... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Forecasting; Livestock; Ruminant; Solutions; Production; Vision. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982017000500452 |
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| Zakrzewicz, Christopher J.; Brorsen, B. Wade; Briggeman, Brian C.. |
| The value of land dominates the financial structure of most American agricultural production firms, and land values are an important factor in long-term agricultural planning and risk management. As the primary source of collateral for farm loans, farmland values have significant implications for both producers as well as bankers financing agricultural loans. The Federal Reserve Bank of Kansas City’s Survey of Agricultural Credit Conditions is an expert opinion survey in which agricultural bankers provide land value forecasts. As the survey has drawn increased attention, the survey has drawn criticism regarding its use qualitative data to forecast land values. Our research examines the value of the survey data with respect to its ability to forecast... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Farmland; Forecasting; Land values; Federal Reserve Bank; Agribusiness; Financial Economics. |
| Ano: 2010 |
URL: http://purl.umn.edu/61758 |
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| Wang, Fangqi; Qi, Faqing; Hu, Guanghai; Dong, Lifeng; Tao, Changfei. |
| The subbottom profiling is an important means of marine engineering survey, hazardous geology study and continental shelf scientific research. The accuracy of subbottom profile data interpretation has a direct impact on the research and investigation results. Because some of profilers’ transducer and hydrophone are separately installed, when the survey area is very shallow, distortion of shallow layers will be caused if it is seen as a self-excited and self-collected single-channel seismic system. According to the principle of subbottom profiler, the distortion correction formula is deduced and analyzed, providing actual value to using C-View software to interpret such subbottom profile data more accurately. In addition, the seabed sediments sound velocity... |
| Tipo: Journal Contribution |
Palavras-chave: Crustal thickness; Sound velocity; Porosity; Forecasting. |
| Ano: 2012 |
URL: http://hdl.handle.net/1834/5852 |
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| Fenyves, Veronika; Orban, Ildiko; Dajnoki, Krisztina; Nabradi, Andras. |
| The Hungarian sheep sector has become a one-market sector, almost the whole amount of slaughter lamb went to Italy. It would worth to exploit possibilities in other European markets. Such markets can be the Spanish and Greek for ”light” and the French, German and English markets for ”heavy” lambs. The European lamb prices are characterized by large seasonal fluctuation and the degree and timing of changes are different. Due to these seasonal changes, the producers often suffer great losses. Study of the literature on lamb sales called for an analysis of price forecasting. In my study, I performed a forecasting of lamb prices in Hungary, Italy and Greek for the period between 1996 and 2007 based on the data of the European Committee. Among the forecasting... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Forecasting; Lamb prices; Comparison; Agricultural and Food Policy. |
| Ano: 2009 |
URL: http://purl.umn.edu/58012 |
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| Wang, Xiaoyang; Garcia, Philip. |
| Price volatility in the corn market has changed considerably globalization and stronger linkages to the energy complex. Using data from January 1989 through December 2009, we estimate and forecast the volatility in the corn market using futures daily prices. Estimates in a Fractional Integrated GARCH framework identify the importance of long memory, seasonality, and structural change. Recursively generated forecasts for up to 40-day horizons starting in January 2005 highlight the importance of seasonality, and long memory specifications which perform well at more distant horizons particularly with rising volatility. The forecast benefits of allowing for structural change in an adaptive framework are more difficult to identify except at more distant... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Corn price volatility; Long memory; Seasonality; Structural change; Forecasting; Agricultural Finance; Risk and Uncertainty. |
| Ano: 2011 |
URL: http://purl.umn.edu/103749 |
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| Hamm, Lonnie; Brorsen, B. Wade. |
| Neural network models were compared to traditional forecasting methods in forecasting the quarterly and monthly farm price of hogs. A quarterly neural network model forecasted poorly in comparison to a quarterly econometric model. A monthly neural network model outperformed a monthly ARIMA model with respect to the mean square error criterion and performed similarly to the ARIMA model with respect to turning point accuracy. The more positive results of the monthly neural network model in comparison to the quarterly neural network model may be due to nonlinearities in the monthly data which are not in the quarterly data. |
| Tipo: Journal Article |
Palavras-chave: Forecasting; Hog prices; Neural networks; ARIMA; Econometric; Agribusiness; Livestock Production/Industries. |
| Ano: 1997 |
URL: http://purl.umn.edu/90646 |
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| Chen, Zhuo; Cho, Seong-Hoon; Poudyal, Neelam C.; Roberts, Roland K.. |
| This research evaluated forecasting accuracy of hedonic price models based on a number of different submarket assumptions. Using home sale data for the City of Knoxville and vicinities merged with geographic information, we found that forecasting housing prices with submarkets defined using expert knowledge and by school district and combining information conveyed in different modeling strategies are more accurate and efficient than models that are spatially aggregated, or with submarkets defined by statistical clustering techniques. This finding provided useful implications for housing price prediction in an urban setting and surrounding areas in that forecasting models based on expert knowledge of market structure or public school quality and simple... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Clustering; Forecasting; Hedonic price; Housing Submarket; Demand and Price Analysis; C53; R21. |
| Ano: 2007 |
URL: http://purl.umn.edu/9689 |
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| Quagrainie, Kwamena K.. |
| There is a strong competition from low-priced imported catfish fillets resulting in a declining market share for domestic farm-raised catfish fillets. To match the competition, catfish processors are embarking on pricing policy measures that are volume-oriented instead of profit- or image-oriented. This could be an effective short-run pricing policy measure for optimal long-run sustainability and profitability of the industry. Volume pricing strategies are aimed at meeting target sales volumes or market shares. This paper explores and compares the performance of the standard logit, the inverse power transformation (IPT) logit and the logarithmic version of the inverse power transformation logit models in terms of generating forecasts for market share... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Market share; Forecasting; Flexible logit; Marketing; Q130; C250; C530. |
| Ano: 2004 |
URL: http://purl.umn.edu/34724 |
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| Auffhammer, Maximilian; Carson, Richard T.. |
| Our results suggest that the anticipated path of China's Carbon Dioxide (CO2) emissions has dramatically increased over the last five years. The magnitude of the projected increase in Chinese emissions out to 2015 is several times larger than reductions embodied in the Kyoto Protocol. Our estimates are based on a unique provincial level panel data set from the Chinese Environmental Protection Agency. This dataset contains considerably more information relevant to the path of likely Chinese greenhouse gas emissions than national level time series models currently in use. Model selection criteria clearly reject the popular static environmental Kuznets curve specification in favor of a class of dynamic models with spatial dependence. |
| Tipo: Working or Discussion Paper |
Palavras-chave: Forecasting; Climate Change; China; Model Selection; Environmental Economics and Policy; Q43; C53. |
| Ano: 2006 |
URL: http://purl.umn.edu/7197 |
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| Nyangweso, P.M.; Odmori, Paul Okelo; Mapelu, M.Z.; Odhiambo, Mark O.. |
| Simulation models have been used successfully to forecast productivity of cropping systems under various weather, management and policy scenarios. These models have helped farmers make efficient resource allocation decisions. However, in Kenya simulation models have not been used extensively and more specifically in modeling large scale cropping systems. The study aimed at forecasting productivity and profitability of wheat cropping systems in Uasin Gishu district, Kenya. Both primary and secondary data were used. Both time series and cross-sectional data for variables of interest were collected and complemented by a survey of 20 wheat farmers who were systematically selected to verify information obtained from secondary sources. Cropping Systems... |
| Tipo: Journal Article |
Palavras-chave: Wheat; Cropping system; Simulation; Forecasting; Productivity; Profits; Crop Production/Industries. |
| Ano: 2010 |
URL: http://purl.umn.edu/95960 |
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| Odwori, P.O.; Mapelu, M.Z.; Odhiambo, Mark O.; Nyangweso, P.M.. |
| Simulation models have been used successfully to forecast productivity of cropping systems under various weather, management and policy scenarios. These models have helped farmers make efficient resource allocation decisions. However, in Kenya simulation models have not been used extensively and more specifically in modeling maize cropping system. The study aimed at forecasting productivity and profitability of maize cropping system in Uasin Gishu district, Kenya. Both primary and secondary data were used. Both time series and cross-sectional data for variables of interest were collected and complemented by a survey of 20 maize farmers who were systematically selected to verify information obtained from secondary sources. Cropping Systems simulation model... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Forecasting; Yields; Profits; Maize cropping system; Simulation models; Crop Production/Industries. |
| Ano: 2010 |
URL: http://purl.umn.edu/97080 |
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| Registros recuperados: 59 | |
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