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Registros recuperados: 28 | |
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Nivens, Heather D.; Kastens, Terry L.; Dhuyvetter, Kevin C.. |
Remotely sensed data have been used in the past to predict crop yields. This research attempts to incorporate remotely sensed data into a net farm income projection model. Using in-sample regressions, satellite imagery appears to increase prediction accuracy in the time periods prior to USDA's first crop production estimate for wheat and corn. Remotely sensed data improved model performance more in the western regions of the state than in the eastern regions. However, in a jackknife out-of-sample framework, the satellite imagery appeared to statistically improve only 8 of the 81 models (9 crop reporting districts by 9 forecasting horizons) estimated. Moreover, 41 of the 81 models were statistically better without the satellite imagery data. This indicates... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Net farm income; Remote sensing; Satellite imagery; Crop Production/Industries. |
Ano: 2000 |
URL: http://purl.umn.edu/18943 |
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Koo, Won W.; Taylor, Richard D.; Swenson, Andrew L.. |
North Dakota gross returns from HRS wheat, durum wheat, and barley declined in 1999, relative to the expected gross returns, due to adverse weather conditions and low prices. The total gross return reductions in 1999 was estimated to be $361 million, which was divided into $51 million from weather and disease and $329 million from lower-than-average prices. Gross return reductions were largest in Region 1 (Northwest), followed by Regions 3 (Northeast) and 6 (East Central). HRS wheat accounted for the largest income loss, followed by durum and barley. However, total net farm income increased in 1999 relative to 1998, because of government payments and crop insurance. |
Tipo: Working or Discussion Paper |
Palavras-chave: Net farm income; Crop losses; Weather conditions; Agricultural Finance. |
Ano: 2000 |
URL: http://purl.umn.edu/23249 |
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Registros recuperados: 28 | |
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