RESULTS OF PROJECT SUS&LOW WERE PRESENTED IN A SPECIAL SESSION OF MODEL-IT 2023 IN GERMANY
On Mar. 21, Prof. G. Colelli Project SUS&LOW “Sustaining Low-Impact Practices in horticulture through Non-destructive approach to provide more Information on Fresh produce History & Quality” (funded by MUR-PRIN2018) was presented yesterday within the “VII International Symposium on Applications of Modelling as an Innovative Technology in the Horticultural Supply Chain” in Potsdam, Germany.
A special session included 5 different contributions as oral presentations, plus 2 contributions were presented as Poster.
Prof. Giancarlo Colelli, Coordinator of the Project, chaired the Special Session which included the following presentations:
Sustaining low-impact practices in horticulture through non-destructive approach to provide more information on fresh produce history and quality (Giancarlo Colelli, University Foggia, Italy)
Machine learning techniques to identify relevant colours for quality evaluation and internal parameters estimation in agricultural products (Udith Krishnan, CNR- Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing, Italy)
Potential application of hyperspectral imaging & FT-NIR spectroscopy for discrimination of soilless tomato according to cultural practices & water use efficiency (Maria-Luisa Amodio, University Foggia, Italy)
Computer vision system for non-destructively evaluating quality traits in fresh and packaged rocket leaves (Miky Michela Palumbo), CNR-Institute of Sciences of Food Production, Italy)
Effect of Nitrogen fertilization levels on quality attributes of rocket salad over storage: Modelling degradation kinetics (Aysha Saleem, University Foggia, Italy)
Prediction of cultivation system by rapid and no-destructive tool (Palumbo M, Bonelli L, Pace B, Montesano FF, Serio F, Cefola M, Colelli G, Italy, presented as Poster)
Potential use of Hyperspectral Imaging for Authentication of Rocket Leaves according to Agricultural practices (Saleem A, Nosrati M, Fazayeli H, Amodio ML, Fatchurrahman D, Serio F, Montesano FF, Colelli G, Italy, presented as a Poster).
