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Krzyszczak, J.; Baranowski, P.; Slawinski, C. |
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Title |
Chamber system measurements of carbon dioxide fluxes from winter wheat field in a Lubelskie province |
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Year |
2014 |
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CropM |
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6-th Ukrainian-Polish Scientific and Practical Conference ELECTRONICS AND INFORMATION TECHNOLOGIES, Lviv-Chynadiyevo, Ukraine, 2014-08-28 to 2014-08-31 |
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MA @ admin @ |
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2576 |
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Author |
Krzyszczak, J.; Baranowski, P.; Slawinski, C. |
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Title |
Field experiment in Lubelskie region to validate crop growth models in temperate, climate |
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Conference Article |
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Year |
2014 |
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CropM |
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MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12 |
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no |
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MA @ admin @ |
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2577 |
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Author |
Murat, M.; Malinowska, I.; Hoffmann, H.; Baranowski, P. |
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Title |
Statistical modelling of agrometeorological time series by exponential smoothing |
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Journal Article |
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Year |
2016 |
Publication |
International Agrophysics |
Abbreviated Journal |
International Agrophysics |
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30 |
Issue |
1 |
Pages |
57-65 |
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Keywords |
exponential smoothing; meteorological time series; statistical forecasting; daily temperature records; weighted moving averages; climate-change; prediction; forecasts; state; weather |
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Abstract |
Meteorological time series are used in modelling agrophysical processes of the soil-plant-atmosphere system which determine plant growth and yield. Additionally, longterm meteorological series are used in climate change scenarios. Such studies often require forecasting or projection of meteorological variables, eg the projection of occurrence of the extreme events. The aim of the article was to determine the most suitable exponential smoothing models to generate forecast using data on air temperature, wind speed, and precipitation time series in Jokioinen (Finland), Dikopshof (Germany), Lleida (Spain), and Lublin (Poland). These series exhibit regular additive seasonality or non-seasonality without any trend, which is confirmed by their autocorrelation functions and partial autocorrelation functions. The most suitable models were indicated by the smallest mean absolute error and the smallest root mean squared error. |
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English |
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0236-8722 |
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CropM, ft_macsur |
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MA @ admin @ |
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4728 |
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Baranowski, P.; Slawinski, C.; Krzyszczak, J. |
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Title |
Short presentation of partner’s P139 involvement in CropM |
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Year |
2013 |
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TradeM; CropM |
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MACSUR TradeM Workshop on Global Food Security Challenges – European Research approaches. Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany, 2013-11-18 to 2013-11-20 |
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no |
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Call Number |
MA @ admin @ |
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2294 |
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Author |
Baranowski, P.; Mazurek, W.; Pastuszka-Wozniak, J. |
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Title |
Supervised classification of bruised apples on the base of hyperspectral imaging data |
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Conference Article |
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Year |
2013 |
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CropM |
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10th International Conference on Agrophysics, 2013-06-05 to 2013-06-07 |
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Call Number |
MA @ admin @ |
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2295 |
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