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  • 1
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    Argentina corn yield model (1984)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: A model based on multiple regression was developed to estimate corn yields for the country of Argentina. A meteorological data set was obtained for the country by averaging data for stations within the corn-growing area. Predictor variables for the model were derived from monthly total precipitation, average monthly mean temperature, and average monthly maximum temperature. A trend variable was included for the years 1965 to 1980 since an increasing trend in yields due to technology was observed between these years.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E84-10105 , NASA-CR-173374 , YM-N4-04456 , JSC-18908 , NAS 1.26:173374
    Format: application/pdf
    Location Call Number Expected Availability
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    NASA TECHNICAL REPORTS
  • 2
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    Unknown
    Argentina wheat yield model (1984)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: Five models based on multiple regression were developed to estimate wheat yields for the five wheat growing provinces of Argentina. Meteorological data sets were obtained for each province by averaging data for stations within each province. Predictor variables for the models were derived from monthly total precipitation, average monthly mean temperature, and average monthly maximum temperature. Buenos Aires was the only province for which a trend variable was included because of increasing trend in yield due to technology from 1950 to 1963.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E84-10101 , NASA-CR-173370 , YM-N4-04457 , JSC-18909 , NAS 1.26:173370
    Format: application/pdf
    Location Call Number Expected Availability
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    NASA TECHNICAL REPORTS
  • 3
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    Unknown
    Brazil soybean yield covariance model (1984)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: A model based on multiple regression was developed to estimate soybean yields for the seven soybean-growing states of Brazil. The meteorological data of these seven states were pooled and the years 1975 to 1980 were used to model since there was no technological trend in the yields during these years. Predictor variables were derived from monthly total precipitation and monthly average temperature.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E84-10104 , NASA-CR-173373 , YM-N4-04455 , JSC-18907 , NAS 1.26:173373
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    NASA TECHNICAL REPORTS
  • 4
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    Unknown
    Argentina soybean yield model (1984)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: A model based on multiple regression was developed to estimate soybean yields for the country of Argentina. A meteorological data set was obtained for the country by averaging data for stations within the soybean growing area. Predictor variables for the model were derived from monthly total precipitation and monthly average temperature. A trend variable was included for the years 1969 to 1978 since an increasing trend in yields due to technology was observed between these years.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E84-10102 , NASA-CR-173371 , YM-N4-04453 , JSC-18905 , NAS 1.26:173371
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    NASA TECHNICAL REPORTS
  • 5
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    Unknown
    Brazil wheat yield covariance model (1984)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: A model based on multiple regression was developed to estimate wheat yields for the wheat growing states of Rio Grande do Sul, Parana, and Santa Catarina in Brazil. The meteorological data of these three states were pooled and the years 1972 to 1979 were used to develop the model since there was no technological trend in the yields during these years. Predictor variables were derived from monthly total precipitation, average monthly mean temperature, and average monthly maximum temperature.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E84-10103 , NASA-CR-173372 , YM-N4-04454 , JSC-18906 , NAS 1.26:173372
    Format: application/pdf
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    NASA TECHNICAL REPORTS
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