Dr. rer. nat. Michael Schirrmann
Articles in peer reviewed journals [46 Results]
- Hobart, M.; Pflanz, M.; Tsoulias, N.; Weltzien, C.; Kopetzky, M.; Schirrmann, M. (2025): Fruit Detection and Yield Mass Estimation from a UAV Based RGB Dense Cloud for an Apple Orchard. Drones. (1): p. 60. Online: https://doi.org/10.3390/drones9010060
- Shamshiri, R.; Sturm, B.; Weltzien, C.; Fulton, J.; Khosla, R.; Schirrmann, M.; Raut, S.; Hanike Basavegowda, D.; Yamin, M.; Hameed, I. (2024): Digitalization of agriculture for sustainable crop production: a use-case review. Frontiers in Environmental Science. : p. 1-32. Online: https://doi.org/10.3389/fenvs.2024.1375193
- Hobart, M.; Schirrmann, M.; Abubakari, A.; Badu-Marfo, G.; Kraatz, S.; Zare, M. (2024): Drought Monitoring and Prediction in Agriculture: Employing Earth Observation Data, Climate Scenarios and Data Driven Methods; a Case Study: Mango Orchard in Tamale, Ghana. Remote Sensing. (11): p. 1942. Online: https://www.mdpi.com/2072-4292/16/11/1942
- Darvishi, A.; Yousefi, M.; Schirrmann, M.; Ewert, F. (2024): Exploring biodiversity patterns at the landscape scale by linking landscape energy and land use/land cover heterogeneity. Science of the Total Environment. : p. 170163. Online: https://doi.org/10.1016/j.scitotenv.2024.170163
- Alirezazadeh, P.; Schirrmann, M.; Stolzenburg, F. (2023): A comparative analysis of deep learning methods for weed classification of high-resolution UAV images. Journal of Plant Diseases and Protection. : p. 227-236. Online: https://doi.org/10.1007/s41348-023-00814-9
- Salamut, C.; Kohnert, I.; Landwehr, N.; Pflanz, M.; Schirrmann, M.; Zare, M. (2023): Deep Learning Object Detection for Image Analysis of Cherry Fruit Fly (Rhagoletis cerasi L.) on Yellow Sticky Traps. Gesunde Pflanzen. (1): p. 37-48. Online: https://doi.org/10.1007/s10343-022-00794-0
- Alirezazadeh, P.; Schirrmann, M.; Stolzenburg, F. (2023): Improving Deep Learning-based Plant Disease Classification with Attention Mechanism. Gesunde Pflanzen. (1): p. 49-59. Online: https://doi.org/10.1007/s10343-022-00796-y
- Tang, Z.; Wang, M.; Schirrmann, M.; Dammer, K.; Li, X.; Brueggeman, R.; Sankaran, S.; Carter, A.; Pumphrey, M.; Hu, Y.; Chen, X.; Zhang, Z. (2023): Affordable High Throughput Field Detection of Wheat Stripe Rust Using Deep Learning with Semi-Automated Image Labeling. Computers and Electronics in Agriculture. (April): p. 107709. Online: https://doi.org/10.1016/j.compag.2023.107709
- Li, M.; Shamshiri, R.; Weltzien, C.; Schirrmann, M. (2022): Crop Monitoring Using Sentinel-2 and UAV Multispectral Imagery: A Comparison Case Study in Northeastern Germany. Remote Sensing. (17): p. 4426. Online: https://doi.org/10.3390/rs14174426
- Li, M.; Shamshiri, R.; Schirrmann, M.; Weltzien, C.; Shafian, S.; Laursen, M. (2022): UAV Oblique Imagery with an Adaptive Micro-Terrain Model for Estimation of Leaf Area Index and Height of Maize Canopy from 3D Point Clouds. Remote Sensing. (2): p. 585. Online: https://doi.org/10.3390/rs14030585