Performances of a Seq2Seq-LSTM methodology to predict crop rotations in Québec

To meet global food requirements while responding to the environmental challenges of the 21st century, an agri-environmental transition towards sustainable agricultural practices is necessary. Crop rotation is an ancestral practice and is a pillar of sustainable agriculture. However, this practice r...

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Bibliographic Details

Published in:	Smart Agricultural Technology
Main Authors:	Ambre Dupuis, Camélia Dadouchi, Bruno Agard
Format:	Article
Language:	English
Published:	Elsevier 2023-08-01
Subjects:	Agriculture 4.0 Crop rotation Deep learning Seq2Seq LSTM
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772375523000102