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  • Application of Multiple Linear Regression for multi-criteria yield prediction of winter wheat.

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    Author(s) : Niedbała, G.

    Author Affiliation : Institute of Biosystems Engineering, Faculty of Agronomy and Bioengineering, Poznan University of Life Sciences, ul. Wojska Polskiego 50, 60-627 Poznan, Poland.

    Author Email : gniewko@up.poznan.pl

    Journal article : Journal of Research and Applications in Agricultural Engineering 2018 Vol.63 No.4 pp.125-131 ref.20

    Abstract : The aim of the work was to produce three independent models for predictionpredictionSubject Category: Techniques, Methodologies and Equipment
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    and simulation of winter wheatwinter wheatSubject Category: Commodities and Products
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    yield, which were marked in the following way: ReWW15_04, ReWW31_05 and ReWW30_06. The produced models enable to make yield forecasts for April 15, May 31 and June 30, directly before harvest in the current agrotechnical season. For the construction of prediction models the Multiple Linear Regression (MLR) method was used. The models are based on meteorological data (air temperatureair temperatureSubject Category: Properties
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    and rainfall) and information on mineral fertilisation. The data were collected from 2008-2015 from 301 production fields located in PolandpolandSubject Category: Geographic Entities
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    , in the Wielkopolskie Voivodeship. Evaluation of the quality of forecasts based on MLR models was verified by determining forecast errors using RAE, RMS, MAE and MAPE error gauges. An important feature of the produced prediction model consists in the possibility of making a prediction in the current agrotechnical year on the basis of current weather and fertilizer information.

    ISSN : 1642-686X

    URL : http://www.pimr.poznan.pl/biul/2018_4...

    Record Number : 20193192268

    Publisher : Przemysłowy Instytut Maszyn Rolniczych (PIMR), Branżowy Ośrodek Informacji Naukowej, Technicznej i Ekonomicznej

    Location of publication : Poznań

    Country of publication : Poland

    Language of text : English

    Language of summary : Polish

    Indexing terms for this abstract:

    Organism descriptor(s) : TriticumtriticumSubject Category: Organism Names
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    , Triticum aestivumtriticum aestivumSubject Category: Organism Names
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    Descriptor(s) : air temperatureair temperatureSubject Category: Properties
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    , crop yieldcrop yieldSubject Category: Properties
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    , inorganic fertilizersinorganic fertilizersSubject Category: Commodities and Products
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    , mathematical modelsmathematical modelsSubject Category: Techniques, Methodologies and Equipment
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    , meteorological factorsmeteorological factorsSubject Category: Properties
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    , predictionpredictionSubject Category: Techniques, Methodologies and Equipment
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    , rainrainSubject Category: Climate Related
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    , regression analysisregression analysisSubject Category: Techniques, Methodologies and Equipment
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    , wheatwheatSubject Category: Commodities and Products
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    , winter wheatwinter wheatSubject Category: Commodities and Products
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    , yield forecastingyield forecastingSubject Category: Techniques, Methodologies and Equipment
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    Identifier(s) : rainfall, yield prediction

    Geographical Location(s) : PolandpolandSubject Category: Geographic Entities
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    Broader term(s) : Central Europecentral europeSubject Category: Geographic Entities
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    , EuropeeuropeSubject Category: Geographic Entities
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    , Developed Countriesdeveloped countriesSubject Category: Miscellaneous
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    , European Union Countrieseuropean union countriesSubject Category: Institutions and Organisations
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    , OECD Countriesoecd countriesSubject Category: Institutions and Organisations
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    , TriticumtriticumSubject Category: Organism Names
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    , PoaceaepoaceaeSubject Category: Organism Names
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    , PoalespoalesSubject Category: Organism Names
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    , commelinidscommelinidsSubject Category: Organism Names
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    , monocotyledonsmonocotyledonsSubject Category: Organism Names
    see more details
    , angiospermsangiospermsSubject Category: Organism Names
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    , SpermatophytaspermatophytaSubject Category: Organism Names
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    , plantsplantsSubject Category: Organism Names
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    , eukaryoteseukaryotesSubject Category: Organism Names
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