| A review of advanced machine learning methods for the detection of biotic stress in precision crop protection J Behmann, AK Mahlein, T Rumpf, C Römer, L Plümer Precision agriculture 16, 239-260, 2015 | 414 | 2015 |
| Detection of early plant stress responses in hyperspectral images J Behmann, J Steinrücken, L Plümer ISPRS Journal of Photogrammetry and Remote Sensing 93, 98-111, 2014 | 375 | 2014 |
| Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective S Thomas, MT Kuska, D Bohnenkamp, A Brugger, E Alisaac, ... Journal of Plant Diseases and Protection 125, 5-20, 2018 | 341 | 2018 |
| Hyperspectral sensors and imaging technologies in phytopathology: state of the art AK Mahlein, MT Kuska, J Behmann, G Polder, A Walter Annual review of phytopathology 56 (1), 535-558, 2018 | 335 | 2018 |
| Low-cost 3D systems: suitable tools for plant phenotyping S Paulus, J Behmann, AK Mahlein, L Plümer, H Kuhlmann Sensors 14 (2), 3001-3018, 2014 | 312 | 2014 |
| Specim IQ: evaluation of a new, miniaturized handheld hyperspectral camera and its application for plant phenotyping and disease detection J Behmann, K Acebron, D Emin, S Bennertz, S Matsubara, S Thomas, ... Sensors 18 (2), 441, 2018 | 220 | 2018 |
| Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis C Römer, M Wahabzada, A Ballvora, F Pinto, M Rossini, C Panigada, ... Functional Plant Biology 39 (11), 878-890, 2012 | 185 | 2012 |
| Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring Fusarium Head Blight of Wheat on Spikelet Scale AK Mahlein, E Alisaac, A Al Masri, J Behmann, HW Dehne, EC Oerke Sensors 19 (10), 2281, 2019 | 130 | 2019 |
| Generation and application of hyperspectral 3D plant models: methods and challenges J Behmann, AK Mahlein, S Paulus, J Dupuis, H Kuhlmann, EC Oerke, ... Machine Vision and Applications 27, 611-624, 2016 | 116 | 2016 |
| Quantitative assessment of disease severity and rating of barley cultivars based on hyperspectral imaging in a non-invasive, automated phenotyping platform S Thomas, J Behmann, A Steier, T Kraska, O Muller, U Rascher, ... Plant methods 14, 1-12, 2018 | 112 | 2018 |
| Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed! AK Mahlein, MT Kuska, S Thomas, M Wahabzada, J Behmann, ... Current opinion in plant biology 50, 156-162, 2019 | 103 | 2019 |
| In-field detection of yellow rust in wheat on the ground canopy and UAV scale D Bohnenkamp, J Behmann, AK Mahlein Remote Sensing 11 (21), 2495, 2019 | 98 | 2019 |
| Calibration of hyperspectral close-range pushbroom cameras for plant phenotyping J Behmann, AK Mahlein, S Paulus, H Kuhlmann, EC Oerke, L Plümer ISPRS Journal of Photogrammetry and Remote Sensing 106, 172-182, 2015 | 87 | 2015 |
| Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species E Alisaac, J Behmann, MT Kuska, HW Dehne, AK Mahlein European Journal of Plant Pathology 152, 869-884, 2018 | 83 | 2018 |
| Assessment of Fusarium Infection and Mycotoxin Contamination of Wheat Kernels and Flour Using Hyperspectral Imaging E Alisaac, J Behmann, A Rathgeb, P Karlovsky, HW Dehne, AK Mahlein Toxins 11 (10), 556, 2019 | 61 | 2019 |
| Detection of disease symptoms on hyperspectral 3D plant models R Roscher, J Behmann, AK Mahlein, J Dupuis, H Kuhlmann, L Plümer ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016 | 52 | 2016 |
| Hyperspectral plant disease forecasting using generative adversarial networks A Förster, J Behley, J Behmann, R Roscher IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 46 | 2019 |
| Extending hyperspectral imaging for plant phenotyping to the UV-range A Brugger, J Behmann, S Paulus, HG Luigs, MT Kuska, P Schramowski, ... Remote Sensing 11 (12), 1401, 2019 | 45 | 2019 |
| Hyperspectral signal decomposition and symptom detection of wheat rust disease at the leaf scale using pure fungal spore spectra as reference D Bohnenkamp, MT Kuska, AK Mahlein, J Behmann Plant Pathology 68 (6), 1188-1195, 2019 | 41 | 2019 |
| Plant disease detection by hyperspectral imaging: from the lab to the field AK Mahlein, MT Kuska, S Thomas, D Bohnenkamp, E Alisaac, J Behmann, ... Advances in animal biosciences 8 (2), 238-243, 2017 | 39 | 2017 |
Mirwaes WahabzadaBASF Digital Farming GmbHVerified email at basf.com