{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T15:07:12Z","timestamp":1772032032213,"version":"3.50.1"},"reference-count":11,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T00:00:00Z","timestamp":1568246400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T00:00:00Z","timestamp":1568246400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["K\u00fcnstl Intell"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1007\/s13218-019-00617-x","type":"journal-article","created":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T18:05:36Z","timestamp":1568311536000},"page":"411-415","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Weed Management of the Future"],"prefix":"10.1007","volume":"33","author":[{"given":"Sandra","family":"Amend","sequence":"first","affiliation":[]},{"given":"David","family":"Brandt","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"Di Marco","sequence":"additional","affiliation":[]},{"given":"Tobias","family":"Dipper","sequence":"additional","affiliation":[]},{"given":"Gabriel","family":"G\u00e4ssler","sequence":"additional","affiliation":[]},{"given":"Markus","family":"H\u00f6ferlin","sequence":"additional","affiliation":[]},{"given":"Maurice","family":"Gohlke","sequence":"additional","affiliation":[]},{"given":"Katharina","family":"Kesenheimer","sequence":"additional","affiliation":[]},{"given":"Peter","family":"Lindner","sequence":"additional","affiliation":[]},{"given":"Roland","family":"Leidenfrost","sequence":"additional","affiliation":[]},{"given":"Andreas","family":"Michaels","sequence":"additional","affiliation":[]},{"given":"Tobias","family":"Mugele","sequence":"additional","affiliation":[]},{"given":"Arthur","family":"M\u00fcller","sequence":"additional","affiliation":[]},{"given":"Tanja","family":"Riffel","sequence":"additional","affiliation":[]},{"given":"Yeshwanth","family":"Sampangi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5064-4459","authenticated-orcid":false,"given":"Jan","family":"Winkler","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,9,12]]},"reference":[{"key":"617_CR1","unstructured":"Union of concerned scientists. The rise of superweeds\u2014and What to do about it. 2013. https:\/\/www.ucsusa.org\/sites\/default\/files\/legacy\/assets\/documents\/food_and_agriculture\/rise-of-superweeds.pdf . Accessed 20 Aug 2019"},{"key":"617_CR2","unstructured":"Hedlund B, Goldman A (2019) Where is Glyphosate Banned? https:\/\/www.baumhedlundlaw.com\/toxic-tort-law\/monsanto-roundup-lawsuit\/where-is-glyphosate-banned\/ . Accessed 20 Aug 2019"},{"key":"617_CR3","doi-asserted-by":"crossref","unstructured":"Lottes P, Behley J, Milioto A, Stachniss C (2018) Fully convolutional networks with sequential information for robust crop and weed detection in precision farming. https:\/\/arxiv.org\/pdf\/1806.03412.pdf","DOI":"10.1109\/LRA.2018.2846289"},{"key":"617_CR4","doi-asserted-by":"crossref","unstructured":"Lottes P, Behley J, Chebrolu N, Milioto A, Stachniss C (2018) Joint stem detection and crop-weed classification for plant-specific treatment in precision farming. https:\/\/arxiv.org\/pdf\/1806.03413.pdf","DOI":"10.1109\/IROS.2018.8593678"},{"key":"617_CR5","doi-asserted-by":"crossref","unstructured":"Milioto A, Lottes P, Stachniss C (2017) Real-time blob-wise sugar beets vs weed classification for monitoring fields using convolutional neural networks. https:\/\/www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net\/IV-2-W3\/41\/2017\/isprs-annals-IV-2-W3-41-2017.pdf . Accessed 20 Aug 2019","DOI":"10.5194\/isprs-annals-IV-2-W3-41-2017"},{"key":"617_CR6","doi-asserted-by":"crossref","unstructured":"Ruckelshausen A, Biber P, Dorna M, Gremmes H, Klose R, Linz A, Rahe F, Resch R, Thiel M, Trautz D, Weiss U (2009) BoniRob: an autonomous field robot platform for individual plant phenotyping. https:\/\/www.hs-osnabrueck.de\/fileadmin\/HSOS\/Homepages\/COALA\/Veroeffentlichungen\/2009-JIAC-BoniRob.pdf . Accessed 20 Aug 2019","DOI":"10.3920\/9789086866649_101"},{"key":"617_CR7","doi-asserted-by":"crossref","unstructured":"Xie S, Girshick R, Doll\u00e1r P, Tu Z, He K (2017) Aggregated residual transformations for deep neural networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp 1492\u20131500","DOI":"10.1109\/CVPR.2017.634"},{"key":"617_CR8","doi-asserted-by":"crossref","unstructured":"Huang G, Liu Z, Van Der Maaten L, Weinberger KQ (2017) Densely connected convolutional networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp 4700\u20134708","DOI":"10.1109\/CVPR.2017.243"},{"key":"617_CR9","doi-asserted-by":"crossref","unstructured":"Long J, Shelhamer E, Darrell T (2015) Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition. 3431\u20133440","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"617_CR10","first-page":"234","volume-title":"Lecture Notes in Computer Science","author":"Olaf Ronneberger","year":"2015","unstructured":"Ronneberger O, Fischer P, Brox T (2015) U-net: Convolutional networks for biomedical image segmentation. International conference on Medical image computing and computer-assisted intervention. pp 234\u2013241"},{"key":"617_CR11","doi-asserted-by":"crossref","unstructured":"J\u00e9gou S, Drozdzal M, Vazquez D, Romero A, Bengio Y (2017) The one hundred layers tiramisu: fully convolutional densenets for semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops. pp 11\u201319","DOI":"10.1109\/CVPRW.2017.156"}],"container-title":["KI - K\u00fcnstliche Intelligenz"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13218-019-00617-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13218-019-00617-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13218-019-00617-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T09:43:54Z","timestamp":1721727834000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13218-019-00617-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,12]]},"references-count":11,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["617"],"URL":"https:\/\/doi.org\/10.1007\/s13218-019-00617-x","relation":{},"ISSN":["0933-1875","1610-1987"],"issn-type":[{"value":"0933-1875","type":"print"},{"value":"1610-1987","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,9,12]]},"assertion":[{"value":"1 February 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 September 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 September 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}