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Aufsätze in referierten Fachzeitschriften [30 Ergebnisse]

• Schemminger, J.; Raut, S.; Sturm, B.; Defraeye, T. (2024): A hybrid digital shadow to assess biological variability in carrot slices during drying. Thermal Science and Engineering Progress. (May 2024): p. 1-21. Online: https://doi.org/10.1016/j.tsep.2024.102507
• 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
• Hoffmann, T.; Linke, M.; Praeger, U.; Sonawane, A.; Büchele, F.; Neuwald, D.; Jedermann, R.; Sturm, B.; Mahajan, P. (2024): Heat transfer in large bins during the apples cool-down process. International Journal of Refrigeration. (February 2025): p. 60-69. Online: https://doi.org/10.1016/j.ijrefrig.2024.11.023
• Arefi, A.; Sturm, B.; Babor, M.; Horf, M.; Hoffmann, T.; Höhne, M.; Friedrich, K.; Schroedter, L.; Venus, J.; Olszewska-Widdrat, A. (2024): Digital model of biochemical reactions in lactic acid bacterial fermentation of simple glucose and biowaste substrates. Heliyon. (19): p. 1-13. Online: https://doi.org/10.1016/j.heliyon.2024.e38791
• Arefi, A.; Sturm, B.; Hoffmann, T. (2024): Explainability of deep convolutional neural networks when it comes to NIR spectral data: a case study of starch content estimation in potato tubers. LWT-Food Science and Technology. : p. 0. Online: https://doi.org/10.1016/j.foodcont.2024.110979
• Marzban, N.; Libra, J.; Ro, K.; Moloeznik Paniagua, D.; Rotter, V.; Sturm, B.; Filonenko, S. (2024): Hydrochar stability: understanding the role of moisture, time and temperature in its physiochemical changes. Biochar. (38): p. 1-17. Online: https://doi.org/10.1007/s42773-024-00329-y
• Hoffmann, T.; Mahajan, P.; Praeger, U.; Geyer, M.; Sturm, B.; Linke, M. (2023): Small Peltier element to detect real-time heat flux between apple and environment during postharvest storage. Computers and Electronics in Agriculture. (October 2023): p. 108247. Online: https://doi.org/10.1016/j.compag.2023.108247
• Nurkhoeriyati, T.; Arefi, A.; Kulig, B.; Sturm, B.; Hensel, O. (2023): Non-destructive monitoring of quality attributes kinetics during the drying process: A case study of celeriac slices and the model generalisation in selected commodities. Food Chemistry. (136379): p. 136379. Online: https://doi.org/10.1016/j.foodchem.2023.136379
• Chikpah, S.; Korese, J.; Hensel, O.; Sturm, B.; Pawelzik, E. (2023): Influence of blend proportion and baking conditions on the quality attributes of wheat, orange-fleshed sweet potato and pumpkin composite flour dough and bread: optimization of processing factors. Discover Food. (3): p. 1-24. Online: https://doi.org/10.1007/s44187-023-00041-z
• Alipasandi, A.; Mahmoudi, A.; Sturm, B.; Behfar, H.; Zohrabi, S. (2023): Application of meta-heuristic feature selection method in low-cost portable device for watermelon classification using signal processing techniques. Computers and Electronics in Agriculture. (107578): p. 1-16. Online: https://doi.org/10.1016/j.compag.2022.107578