%0 Book Section %1 KukushkinEndersKaschubaSchmid2023CanolaBogdan %A Kukushkin, Maksim %A Enders, Matthias %A Kaschuba, Reinhard %A Bogdan, Martin %A Schmid, Thomas %B INFORMATIK 2023 - Designing Futures: Zukünfte gestalten %C Bonn %D 2023 %I Gesellschaft für Informatik e.V. %K Agricultural Anomaly Autoencoder Detection Production Seed Zno %P 1645--1652 %R 10.18420/inf2023_169 %T Canola seed or not? Autoencoder-based Anomaly Detection in AgriculturalSeedProduction %@ 978-3-88579-731-9

@incollection{KukushkinEndersKaschubaSchmid2023CanolaBogdan, added-at = {2025-01-07T11:08:54.000+0100}, address = {Bonn}, author = {Kukushkin, Maksim and Enders, Matthias and Kaschuba, Reinhard and Bogdan, Martin and Schmid, Thomas}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/20824a78998c508f2725744c40abe4747/scadsfct}, booktitle = {INFORMATIK 2023 - Designing Futures: Zukünfte gestalten}, doi = {10.18420/inf2023_169}, interhash = {26c7c4c48bc7b17741df51e687a7db9e}, intrahash = {0824a78998c508f2725744c40abe4747}, isbn = {978-3-88579-731-9}, keywords = {Agricultural Anomaly Autoencoder Detection Production Seed Zno}, pages = {1645--1652}, pissn = {1617-5468}, publisher = {Gesellschaft für Informatik e.V.}, timestamp = {2025-02-17T11:28:21.000+0100}, title = {Canola seed or not? Autoencoder-based Anomaly Detection in AgriculturalSeedProduction}, year = 2023 }