Image-based classification of plant genus and family for trained and untrained plant species von Seeland, Marco, Rzanny, Michael, Boho, David, Wäldchen, Jana, Mäder, Patrick

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Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton von Dunker, Susanne, Boho, David, Wäldchen, Jana, Mäder, Patrick

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Flora Capture: a citizen science application for collecting structured plant observations von Boho, David, Rzanny, Michael, Wäldchen, Jana, Nitsche, Fabian, Deggelmann, Alice, Wittich, Hans Christian, Seeland, Marco, Mäder, Patrick

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On the use of a cascaded convolutional neural network for three-dimensional flow measurements using astigmatic PTV von König, Jörg, Chen, Minqian, Rösing, Wiebke, Boho, David, Mäder, Patrick, Cierpka, Christian

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Image-Based Automated Recognition of 31 Poaceae Species: The Most Relevant Perspectives von Rzanny, Michael, Wittich, Hans Christian, Mäder, Patrick, Deggelmann, Alice, Boho, David, Wäldchen, Jana

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Bridging the gap: how to adopt opportunistic plant observations for phenology monitoring von Katal, Negin, Rzanny, Michael, Mäder, Patrick, Römermann, Christine, Wittich, Hans Christian, Boho, David, Musavi, Talie, Wäldchen, Jana

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Opportunistic plant observations reveal spatial and temporal gradients in phenology von Rzanny, Michael, Mäder, Patrick, Wittich, Hans Christian, Boho, David, Wäldchen, Jana

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More than rapid identification—Free plant identification apps can also be highly accurate von Rzanny, Michael, Bebber, Anke, Wittich, Hans Christian, Fritz, Alice, Boho, David, Mäder, Patrick, Wäldchen, Jana

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Pollen analysis using multispectral imaging flow cytometry and deep learning von Dunker, Susanne, Motivans, Elena, Rakosy, Demetra, Boho, David, Mäder, Patrick, Hornick, Thomas, Knight, Tiffany M.

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The Flora Incognita app – Interactive plant species identification von Mäder, Patrick, Boho, David, Rzanny, Michael, Seeland, Marco, Wittich, Hans Christian, Deggelmann, Alice, Wäldchen, Jana

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Deep learning to capture leaf shape in plant images: Validation by geometric morphometrics von Hodač, Ladislav, Karbstein, Kevin, Kösters, Lara, Rzanny, Michael, Wittich, Hans Christian, Boho, David, Šubrt, David, Mäder, Patrick, Wäldchen, Jana

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Data for: "Opportunistic plant observations reveal spatial and temporal gradients in phenology" von Rzanny, Michael, Mäder, Patrick, Wittich, Hans Christian, Boho, David, Wäldchen, Jana

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Replication Data for: Image-based automated recognition of Poaceae species: The most relevant perspectives von Rzanny, Michael, Wittich, Hans Christian, Mäder, Patrick, Deggelmann, Alice, Boho, David, Wäldchen, Jana

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Additional file 1 of Image-based classification of plant genus and family for trained and untrained plant species von Seeland, Marco, Rzanny, Michael, Boho, David, WäLdchen, Jana, MäDer, Patrick

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VERFAHREN UND VORRICHTUNG ZUM BESCHICHTEN VON OPTIKEN von TSCHIDA, MIKE, CLYNE, MIKE, HOSTRAWSER, CARY, KIRCHOFF, DAVID, BOHO, CHUCK

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LENS HANDLING IN AUTOMATED LENS-COATING SYSTEMS von TSCHIDA, MIKE, CLYNE, MIKE, HOSTRAWSER, CARY, BOHO, CHUCK, KIRCHOFF, DAVID, R

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LENS HANDLING IN AUTOMATED LENS-COATING SYSTEMS von TSCHIDA, MIKE, CLYNE, MIKE, HOSTRAWSER, CARY, BOHO, CHUCK, KIRCHOFF, DAVID, R

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LENS HANDLING IN AUTOMATED LENS COATING SYSTEMS von HOSTRAWSER CARY, TSCHIDA MIKE, CLYNE MIKE, BOHO CHUCK, KIRCHOFF DAVID R

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LENS HANDLING IN AUTOMATED LENS-COATING SYSTEMS von TSCHIDA, MIKE, CLYNE, MIKE, HOSTRAWSER, CARY, BOHO, CHUCK, KIRCHOFF, DAVID, R

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LENS HANDLING IN AUTOMATED LENS-COATING SYSTEMS von TSCHIDA, MIKE, CLYNE, MIKE, HOSTRAWSER, CARY, BOHO, CHUCK, KIRCHOFF, DAVID, R

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