Leichte Sprache
Aufsätze in referierten Fachzeitschriften
- Kiplimo Gunia, D.; Sánchez, A.; Ramakrishnan, D.; Wicaksono, W.; Mwirichia, R.; Teixidó, N.; Berg, G.; Abdelfattah, A. (2026): Phenotypic resistance profiles and resistome variations between endophytic and epiphytic bacteria in apple fruits. Environmental Microbiome. : p. 1-14. Online: https://doi.org/10.1186/s40793-026-00880-0 1.0
- Faticov, M.; Tack, A.; Köberl, D.; Berg, G.; Abdelfattah, A. (2026): Multiple origins of the apple seed microbiome: disentangling sexual and asexual transmission pathways. Environmental Microbiome. : p. 1-10. Online: https://doi.org/10.1186/s40793-026-00901-y 1.0
- Tapia Zapata, N.; Zude-Sasse, M. (2026): Geometric and radiometric analysis of dual wavelength NIR-LiDAR scanning for estimating physiological and free water of leaves in apple tree canopies. Scientia Horticulturae. (February): p. 114564. Online: https://doi.org/10.1016/j.scienta.2025.114564 1.0
- Hobart, M.; Boussadia, O.; Ben Hamouda, A.; Giebel, A.; Ellssel, P.; Weltzien, C.; Schirrmann, M. (2026): Estimating Canopy Structure Parameters and Leaf Nitrogen in Olive Orchards Using UAV Imagery Across Two Agro-Ecological Zones in Tunisia. Remote Sensing. (9): p. 1300. Online: https://doi.org/10.3390/rs18091300 1.0
- Dragoni, F.; Tozzini, C.; Taccini, F.; Giovannelli, A.; Traversi, M.; Bonari, E.; Ragaglini, G. (2026): Seasonal dynamics and effect of harvest time on concentration and yield of non-structural carbohydrates in rhizomes and aboveground biomass of giant reed (Arundo donax L.). Biomass & Bioenergy. (February 2026): p. 108515. Online: https://doi.org/10.1016/j.biombioe.2025.108515 1.0
- Foldal, C.; Maier, R.; Amon, B.; Haas, E.; Kraus, D.; Kitzler, B.; Zechmeister-Boltenstern, S. (2026): Refining regional estimates of N2O emissions from agricultural soils: A modelling study from Austria. STOTEN. (February 2026): p. 181399. Online: https://doi.org/10.1016/j.scitotenv.2026.181399 1.0
- Safonova, A.; Stiller, S.; Yordanov, M.; Ryo, M. (2026): Self-supervised learning outperforms supervised learning for crop classification by annotating only 5% of images. Precision Agriculture. (4): p. 1-31. Online: https://doi.org/10.1007/s11119-025-10302-9 1.0
- Sabaghi, M.; Seyedalmoosavi, S.; Tavasoli, S. (2026): Sustainable and regulatory perspectives on stimuli-responsive protein-based films for postharvest food and feed preservation. Journal of Stored Products Research. (March 2026): p. 102947. Online: https://doi.org/10.1016/j.jspr.2025.102947 1.0
- Eslamifar, M.; Tavakoli, H.; Thiessen, E.; Kock, R.; Correa Reyes, J.; Hartung, E. (2025): Effective Spectral Pre-processing Methods Enhance Accuracy of Soil Property Prediction by NIR Spectroscopy. Discover Applied Sciences. : p. 896. Online: https://doi.org/10.1007/s42452-025-07580-3 1.0
- Keer, A.; Oza, Y.; Mongad, D.; Ramakrishnan, D.; Dhotre, D.; Abdelfattah, A.; Zumla, A.; Shouche, Y.; Sharma, A. (2025): Assessment of seasonal variations in antibiotic resistance genes and microbial communities in sewage treatment plants for public health monitoring. Environmental Pollution. (15 June 2025): p. 126367. Online: https://doi.org/10.1016/j.envpol.2025.126367 1.0