PI and Mentor

Principal investigator (PI): dr Younes NOUTFIA

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ACADEMIC AND RESEARCH CAREER

Academic degrees/ titles:
– PhD degree: 2021
Moulay Ismail University (UMI) / Meknes – Morocco.
Field of science: Life and environmental sciences. Specialty: Agri‐food technologies, microbiology and biochemistry.
– Advanced Master’s degree: 2013
Catholic University of Louvain (UCL) ‐ University of Liège (ULg) / Belgium.
Field of science: Food Science and Technology.
– State Engineer Diploma: 2008
Agronomic and Veterinary Institute Hassan II (IAV) / Rabat ‐ Morocco. Field of science: Agricultural and Food Industries.

Academic Career:
– June, 2019 – July,2023, Scientific Division, the National Institute of Agricultural Research of Morocco – Head of the Agro‐Food and Quality Department.
– December, 2009 – June, 2019, Regional Center for Agricultural Research of Errachidia, the National Institute of Agricultural Research of Morocco – Researcher in food‐technologies, quality and valorization of fruits and local products.
– November, 2008 – December, 2009, Moroccan Collaborative Grant Project between The International Center for Agricultural Research in the Dry Areas (ICARDA) and The National Institute of Agricultural Research of Morocco – Consultant: processing and quality goat dairy products at Errachidia and Ouarzazate.

MAIN PUBLICATION

  • Noutfia, Y., & Ropelewska, E. (2022). Comprehensive Characterization of Date Palm Fruit ‘Mejhoul’(Phoenix dactylifera L.) Using Image Analysis and Quality Attribute Measurements. Agriculture, 13(1), 74.
  • Noutfia, Y., & Ropelewska, E. (2022). Innovative Models Built Based on Image Textures Using Traditional Machine Learning Algorithms for Distinguishing Different Varieties of Moroccan Date Palm Fruit (Phoenix dactylifera L.). Agriculture, 13(1), 26.
  • Noutfia, Y., Alem, C., & Filali Zegzouti, Y. (2019). Assessment of physico‐chemical and sensory properties of two date (Phoenix dactylifera L.) cultivars under commercial cold storage conditions. Journal of Food Processing and Preservation, 43(12), e14228.
  • Noutfia, Y., Benali, A., Guirrou, I., El Fazazi, K., & Tantaoui, H. (2021). Effect of two drying methods on key physicochemical properties and sensory profile of dried figs (Ficus carica L). Moroccan Journal of Agricultural Sciences, 2(1).
  • Noutfia, Y., Benali, A., Alem, C., & Zegzouti, Y. F. (2018). Design of a solar dryer for small-farm level use and studying fig quality. Acta Scientiarum Polonorum Technologia Alimentaria, 17(4), 359-365.
  • Noutfia, Y., Harrak, H., Chakib, A. L. E. M., & Zegzouti, Y. F. (2018). Conservation par réfrigération de la datte Marocaine: État des lieux et évaluation des critères physiques et sensoriels de la qualité. Revue Marocaine des Sciences Agronomiques et Vétérinaires, 6(4), 483-488.
  • Benali, A., En-Nahli, Y., Noutfia, Y., Elbaouchi, A., Kabbour, M. R., Gaboun, F., … & Kumar, S. (2021). Nutritional and technological optimization of wheat-chickpea-milk powder composite flour and its impact on rheological and sensorial properties of leavened flat bread. Foods, 10(8), 1843.
  • Azzouzi, H., Elhajji, L., Achchoub, M., Salmaoui, S., Ammadi, A., Harrak, H., … & Elfazazi, K. (2023). Moroccan Citrus clementina Peels: Optimization of Pectin Extraction and Determination of Chemical and Functional Properties. Plants, 12(19), 3417.

Mentor: dr hab. Ewa Ropelewska, prof. IO-PIB

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ACADEMIC AND RESEARCH CAREER

Academic degrees/ titles:
D.Sc.: 2019
Poznań University of Life Sciences.
Field of science: Engineering & Technology, discipline of science: Mechanical Engineering.
Ph.D.: 2014
University of Warmia and Mazury in Olsztyn – Faculty of Environmental Management and Agriculture.
Field of science: Agricultural Sciences, discipline of science: Environmental Protection and Development.
M.Sc.: 2010
University of Warmia and Mazury in Olsztyn – Faculty of Biology.
Research area: Biology, Environmental Biology.

Academic Career:
02.03.2020 ‐ current, Fruit and Vegetable Storage and Processing Department, The National Institute of Horticultural Research in Skierniewice, contract of employment, Associate Professor.
02.03.2015 ‐ 25.03.2019, Department of Agrotechnology, Agricultural Production Management and Agribusiness, Faculty of Environmental Management and Agriculture; Department of Systems Engineering, Faculty of Engineering, University of Warmia and Mazury in Olsztyn, employment in projects funded by the National Science Centre and the National Centre for Research and Development; contract of mandate; contract of specific work.

LATEST PUBLICATION

  • Ropelewska, E., Szwejda-Grzybowska, J., Mieszczakowska-Frąc, M., Celejewska, K., Kruczyńska, D. E., Rutkowski, K. P., & Konopacka, D. (2023). Physicochemical Properties, Image Textures, and Relationships between Parameters of Red-Fleshed Apples Collected on Different Harvest Dates. Agronomy, 13(10), 2452.
  • Ropelewska, E., Çetin, N., & Günaydın, S. (2023). Non-destructive discrimination of vacuum-dried banana using image processing operation and machine learning approach. Food and Bioproducts Processing, 141, 36-48.
  • Ropelewska, E., Sabanci, K., Slavova, V., & Genova, S. (2023). The classification of leek seeds based on fluorescence spectroscopic data using machine learning. European Food Research and Technology, 1-10.
  • Ropelewska, E., Skwiercz, A., & Sobczak, M. (2023). Distinguishing Cyst Nematode Species Using Image Textures and Artificial Neural Networks. Agronomy, 13(9), 2277.
  • Ropelewska, E., Kruczyńska, D. E., & Mieszczakowska-Frąc, M. (2023). Distinguishing Seed Cultivars of Quince (Cydonia oblonga Mill.) Using Models Based on Image Textures Built Using Traditional Machine Learning Algorithms. Agriculture, 13(7), 1310.
  • Ropelewska, E., Rady, A. M., & Watson, N. J. (2023). Apricot Stone Classification Using Image Analysis and Machine Learning. Sustainability, 15(12), 9259.
  • Ropelewska, E. (2022). Application of Imaging and Artificial Intelligence for Quality Monitoring of Stored Black Currant (Ribes nigrum L.). Foods, 11(22), 3589.
  • Ropelewska, E., Sabanci, K., & Aslan, M. F. (2022). The changes in bell pepper flesh as a result of lacto-fermentation evaluated using image features and machine learning. Foods, 11(19), 2956.
  • Ropelewska, E., Cai, X., Zhang, Z., Sabanci, K., & Aslan, M. F. (2022). Benchmarking machine learning approaches to evaluate the cultivar differentiation of plum (Prunus domestica L.) kernels. Agriculture, 12(2), 285.
  • Ropelewska, E. (2022). Diversity of plum stones based on image texture parameters and machine learning algorithms. Agronomy, 12(4), 762.
  • Ropelewska, E., Slavova, V., Sabanci, K., Aslan, M. F., Cai, X., & Genova, S. (2022). Discrimination of onion subjected to drought and normal watering mode based on fluorescence spectroscopic data. Computers and Electronics in Agriculture, 196, 106916.
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