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000916837 005__ 20230123101911.0
000916837 037__ $$aFZJ-2023-00134
000916837 041__ $$aEnglish
000916837 1001_ $$0P:(DE-HGF)0$$aKierdorf, Jana$$b0$$eCorresponding author
000916837 1112_ $$adigicrop 2022$$conline$$d2022-03-28 - 2022-03-30$$wGermany
000916837 245__ $$aGrowliflower: An image time series dataset for growth analysis of cauliflower
000916837 260__ $$c2022
000916837 3367_ $$033$$2EndNote$$aConference Paper
000916837 3367_ $$2DataCite$$aOther
000916837 3367_ $$2BibTeX$$aINPROCEEDINGS
000916837 3367_ $$2DRIVER$$aconferenceObject
000916837 3367_ $$2ORCID$$aLECTURE_SPEECH
000916837 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1673523024_27089$$xAfter Call
000916837 502__ $$cUniversity Bonn
000916837 520__ $$aIn our video, we present our benchmark dataset GrowliFlower. It contains weekly, georeferenced UAV captured image time series of two fields sized 0.39 to 0.60 ha for one growing period of cauliflower in 2020 and 2021 each. We extract and provide image time series for thousands of individual plants and collect in-situ reference data in the field.  The reference data contain phenotypic traits such as phenological development, diameter, height, head size and more. Additionally, we have defoliated cauliflower heads and capture image data before and after defoliation. Furthermore, we provide pixel-precise leaf and plant instance segmentation as well as stem annotations. Our benchmark is used to develop and evaluate machine learning models for instance for classification, detection, semantic segmentation, instance segmentation or stem detection tasks, but also for time series analysis. An example for the application of our benchmark can be the analysis of plant development and the determination of the harvest time of cauliflower. The entire dataset will be published and publicly accessible.
000916837 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x0
000916837 7001_ $$0P:(DE-Juel1)168454$$aJunker-Frohn, Laura$$b1
000916837 7001_ $$0P:(DE-HGF)0$$aDelaney, Mike$$b2
000916837 7001_ $$0P:(DE-HGF)0$$aDonoso Olave, Mariele$$b3
000916837 7001_ $$0P:(DE-Juel1)145906$$aBurkart, Andreas$$b4
000916837 7001_ $$0P:(DE-HGF)0$$aJaenicke, Hannah$$b5
000916837 7001_ $$0P:(DE-Juel1)161185$$aMuller, Onno$$b6
000916837 7001_ $$0P:(DE-Juel1)129388$$aRascher, Uwe$$b7
000916837 7001_ $$0P:(DE-Juel1)195965$$aRoscher, Ribana$$b8
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000916837 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2173$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x0
000916837 9141_ $$y2022
000916837 920__ $$lyes
000916837 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x0
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