Aufsätze in referierten Fachzeitschriften
- Heinrich, T.; Park, H.; Orozco, R.; Ding, Z.; Álvarez-López, V.; Mosquera-Losada, M.; Steinbeis, L.; Hoffmann, T. (2023): Biochar production from late-harvest grass - Challenges and potential for farm-scale implementation. Sustainable Production and Consumption. (May): p. 256-267. Online: https://doi.org/10.1016/j.spc.2023.02.019 1.0
- Drastig, K.; Singh, R.; Telesca, F.; Jordan, J.; Zanella Carra, S. (2023): A review of nutritional water productivity (NWP) in agriculture: why it is promoted and how it is assessed?. Water. (24): p. 4278. Online: https://doi.org/10.3390/w15244278 1.0
- Gautam, S.; Boubekki, A.; Höhne, M.; Kampffmeyer, M. (2023): Prototypical Self-Explainable Models Without Re-training. arXiv. : p. 1-25. Online: https://arxiv.org/abs/2312.07822 1.0
- Dammer, K. (2023): Methoden zur Erkennung des Kartoffelkäfers (Leptinotarsa decemlineata (Say))mit Multispektral- und Farbbildkamera-Sensoren. Gesunde Pflanzen. (1): p. 13-23. Online: https://doi.org/10.1007/s10343-022-00765-5 1.0
- 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 1.0
- Tavakoli, H.; Correa Reyes, J.; Sabetizadeh, M.; Vogel, S. (2023): Predicting key soil properties from Vis-NIR spectra by applying dual-wavelength indices transformations and stacking machine learning approaches. Soil and Tillage Research. (May): p. 105684. Online: https://doi.org/10.1016/j.still.2023.105684 1.0
- Zanella Carra, S.; Drastig, K.; Palhares, J.; Anderson Bortolin, T.; Koch, H.; Schneider, V. (2023): Impact assessment of livestock production on water scarcity in a watershed in southern Brazil. Water. (22): p. 3955. Online: https://www.mdpi.com/2073-4441/15/22/3955 1.0
- 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 1.0
- 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 1.0
- Storch, L.; Schulz, K.; Rißmann, C.; Cerull, E.; Plakias, A.; Schlichting, I.; Prochnow, A.; Ruess, L.; Trost, B.; Theuerl, S. (2023): Nitrogen fertilization and irrigation types do not affect the overall N2O production potential of a sandy soil, but the microbial community structure and the quantity of functional genes related to the N cycle. Applied Soil Ecology. (December 2023): p. 0. Online: https://doi.org/10.1016/j.apsoil.2023.105083 1.0