The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest

The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest

Yield forecasting is a rational and scientific way of predicting future occurrences in agriculture—the level of production effects. Its main purpose is reducing the risk in the decision-making process affecting the yield in terms of quantity and quality. The aim of the following study was to generat...

Full description

Bibliographic Details
Main Authors: Magdalena Piekutowska, Gniewko Niedbała, Tomasz Piskier, Tomasz Lenartowicz, Krzysztof Pilarski, Tomasz Wojciechowski, Agnieszka A. Pilarska, Aneta Czechowska-Kosacka
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Agronomy
Subjects:
very early potato
crop yield prediction
artificial neural networks
multiple linear regression
Online Access:https://www.mdpi.com/2073-4395/11/5/885

Similar Items

Similar Items