Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art von Mahlein, A.-K, Kuska, M.T, Behmann, J, Polder, G, Walter, A

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Fusion of sensor data for the detection and differentiation of plant diseases in cucumber von Berdugo, C. A, Zito, R, Paulus, S, Mahlein, A.‐K

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Development of spectral indices for detecting and identifying plant diseases von Mahlein, A.-K., Rumpf, T., Welke, P., Dehne, H.-W., Plümer, L., Steiner, U., Oerke, E.-C.

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Aiming at decision making in plant disease protection and phenotyping by the use of optical sensors von Kuska, M. T., Mahlein, A.-K.

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Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance von Rumpf, T., Mahlein, A.-K., Steiner, U., Oerke, E.-C., Dehne, H.-W., Plümer, L.

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Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species von Alisaac, E., Behmann, J., Kuska, M. T., Dehne, H.-W., Mahlein, A.-K.

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Hyperspectral signal decomposition and symptom detection of wheat rust disease at the leaf scale using pure fungal spore spectra as reference von Bohnenkamp, D., Kuska, M. T., Mahlein, A.‐K., Behmann, J.

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Spectral signatures of sugar beet leaves for the detection and differentiation of diseases von Mahlein, A.-K, Steiner, U, Dehne, H.-W, Oerke, E.-C

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Automated identification of sugar beet diseases using smartphones von Hallau, L., Neumann, M., Klatt, B., Kleinhenz, B., Klein, T., Kuhn, C., Röhrig, M., Bauckhage, C., Kersting, K., Mahlein, A.‐K., Steiner, U., Oerke, E.‐C.

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Remote sensing to detect plant stress induced by Heterodera schachtii and Rhizoctonia solani in sugar beet fields von Hillnhütter, C., Mahlein, A.-K., Sikora, R.A., Oerke, E.-C.

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Impact of primary infection site of Fusarium species on head blight development in wheat ears evaluated by IR-thermography von Al Masri, A., Hau, B., Dehne, H.-W., Mahlein, A.-K., Oerke, E.-C.

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Plant disease detection by hyperspectral imaging: from the lab to the field von Mahlein, A-K., Kuska, M. T., Thomas, S., Bohnenkamp, D., Alisaac, E., Behmann, J., Wahabzada, M., Kersting, K.

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DETECTION OF DISEASE SYMPTOMS ON HYPERSPECTRAL 3D PLANT MODELS von Roscher, Ribana, Behmann, Jan, Mahlein, Anne-Katrin, Dupuis, Jan, Kuhlmann, Heiner, Plümer, Lutz

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Supplemental Blue LED Lighting Array to Improve the Signal Quality in Hyperspectral Imaging of Plants von Mahlein, A K, Hammersley, S, Oerke, E C, Dehne, H W, Goldbach, H, Grieve, B G

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Image-based assessment of hyperspectral reflectance characteristics of plants in the field: Lessons Learned

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Plant phenotyping using probabilistic topic models: Uncovering the hyperspectral language of plants von Wahabzada, M, Mahlein, A.-K, Bauckhage, C, Steiner, U, Oerke, E.-C, Kersting, K

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