Donat, Marco; Geistert, Jonas; Halwani, Mosab; Grahmann, Kathrin and Bellingrath-Kimura, Sonoko Dorothea (2024) Predicting subsequent crop types in crop rotation using neural networks and multi-temporal crop rotation data in north-east of Germany. [Predicting subsequent crop types in crop rotation using neural networks and multi-temporal crop rotation data in north-east of Germany.] In: Landwirtschaft und Ernährung - Transformation macht nur gemeinsam Sinn, Forschungsinstitut für biologischen Landbau (FiBL), pp. 502-504.
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Summary in the original language of the document
The prediction of subsequent crops in crop rotation is becoming increasingly important.Upcoming growing season crop types of Brandenburg, Germany are predicted using a baseline model and a neural network. The results show that our neural network predicts both organic and conventional subsequent crop types in crop rotations better than the baseline model. In addition, it was shown that organic crop types were better predicted than conventional crop types.
Summary translation
The prediction of subsequent crops in crop rotation is becoming increasingly important.Upcoming growing season crop types of Brandenburg, Germany are predicted using a baseline model and a neural network. The results show that our neural network predicts both organic and conventional subsequent crop types in crop rotations better than the baseline model. In addition, it was shown that organic crop types were better predicted than conventional crop types.
| EPrint Type: | Conference paper, poster, etc. |
|---|---|
| Type of presentation: | Poster |
| Keywords: | neural networks, deep learning, crop rotation |
| Agrovoc keywords: | Language Value URI English neural networks http://aims.fao.org/aos/agrovoc/c_37467 English learning http://aims.fao.org/aos/agrovoc/c_37978 English crop rotation http://aims.fao.org/aos/agrovoc/c_6662 |
| Subjects: | Farming Systems > Buildings and machinery Knowledge management |
| Research affiliation: | Germany > University of Berlin - HU > Organic Agriculture and Horticulture Germany > Centre for Agricultural Landscape Research - ZALF International Conferences > 2024: Scientific Conference German Speaking Countries (Wissenschaftstagung Ökologischer Landbau) |
| DOI: | 10.5281/zenodo.11204339 |
| Deposited By: | Röder-Dreher, Ursula |
| ID Code: | 53977 |
| Deposited On: | 31 Jan 2025 12:01 |
| Last Modified: | 31 Jan 2025 12:01 |
| Document Language: | English |
| Status: | Published |
| Refereed: | Peer-reviewed and accepted |
| Additional Publishing Information: | Dieser Beitrag ist im Tagungsband der 17. Wissenschaftstagung Ökologischer Landbau 2024 an der Justus-Liebig-Universität Gießen, Deutschland, 5.-8. März 2024 erschienen. This conference paper is published in the proceedings of the 17th scientific conference on organic agriculture 2024 at Justus-Liebig University Gießen, Germany, 5.-8. March 2024. V. Bruder, V.; Röder-Dreher, U.; Breuer, L.; Herzig, C. und Gattinger, A. (Hrsg.) (2024) Landwirtschaft und Ernährung - Transformation macht nur gemeinsam Sinn. |
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