Prediction of the Hemp Yield Using Artificial Intelligence Methods

Prediction of the Hemp Yield Using Artificial Intelligence Methods

The aim of this study was to determine the usefulness of artificial neural networks (ANN) in the process of forecasting the yield of hemp seeds (Cannabis sativa L.) of the Henola variety. The field experiments (various doses of mineral fertilization, sowing date, row spacing) results were also used...

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Bibliographic Details
Main Authors: Jakub Frankowski, Maciej Zaborowicz, Dominika Sieracka, Małgorzata Łochyńska, Witold Czeszak
Format: Article
Language:English
Published: Taylor & Francis Group 2022-11-01
Series:Journal of Natural Fibers
Subjects:
yield forecasting
hemp cultivation
artificial neural networks
parameters of affecting yield
cannabis sativa
hemp seed
hemp straw
Online Access:http://dx.doi.org/10.1080/15440478.2022.2105468

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