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...

書目詳細資料
發表在:	Journal of Natural Fibers
Main Authors:	Jakub Frankowski, Maciej Zaborowicz, Dominika Sieracka, Małgorzata Łochyńska, Witold Czeszak
格式:	Article
語言:	英语
出版:	Taylor & Francis Group 2022-11-01
主題:	yield forecasting hemp cultivation artificial neural networks parameters of affecting yield cannabis sativa hemp seed hemp straw
在線閱讀:	http://dx.doi.org/10.1080/15440478.2022.2105468

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