The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest - Piekutowska, Magdalena; Niedbała, Gniewko; Piskier, Tomasz; Lenartowicz, Tomasz; Pilarski, Krzysztof; Wojciechowski, Tomasz; Pilarska, Agnieszka A.; Czechowska-Kosacka, Aneta (Agronomy (Basel), 2021)
Keywords: Agricultural production; agronomy; Artificial neural networks; Atmospheric models; Crop diseases; Crop yield; crop yield prediction; Cultivars; Decision making; Error analysis; Flowers & plants; Harvest; linear models; Meteorological data; model validation; multiple linear regression; Neural networks; Poland; Potatoes; Regression analysis; Regression models; Risk reduction; Variables; Vegetation; very early potato; yield forecasting; Poland; Europe