ONFOODS – Research and innovation network on food and nutrition Sustainability, Safety and Security

OnFoods is a foundation that brings together, coordinates and amplifies the work of 26 public and private organisations, leaders in scientific research and sustainable innovation of food systems. This partnership falls within the National Recovery and Resilience Plan (PNRR), which the Italian Government has prepared as part of the Next Generation EU program.
https://onfoods.it/

Our involvement is concerned with food recognition and characterization using computer vision, intelligent sensors, and artificial intelligence.
This falls in Work Package 2 of Spoke 07.

Spoke 07 ‘Policy, behaviour and education’ is centred on developing models and instruments, also digital and technologically advanced, to observe, analyse and forecast agricultural and food policies and the behaviour of businesses and consumers:
https://onfoods.it/spokes/spoke-07

The Work Package 7.2’s team is concerned with implementing behavioural modification strategies for sustainable diets in particular contexts:
https://onfoods.it/spokes/spoke-07/wp-72

Publications

Convergent technologies to tackle challenges of modern food authentication
(Jessica Frigerio, Luca Campone, Marco Davide Giustra, Marco Buzzelli, Flavio Piccoli, Andrea Galimberti, Ciro Cannavacciuolo, Malika Ouled Larbi, Miriam Colombo, Gianluigi Ciocca, Massimo Labra) In Heliyon, volume 10, number 11, pp. e32297, 2024.

Download BibTex Doi

@article{frigerio02024convergentfood,
 author = {Frigerio, Jessica and Campone, Luca and Giustra, Marco Davide and Buzzelli, Marco and Piccoli, Flavio and Galimberti, Andrea and Cannavacciuolo, Ciro and Ouled Larbi, Malika and Colombo, Miriam and Ciocca, Gianluigi and Labra, Massimo},
 year = {2024},
 pages = {e32297},
 title = {Convergent technologies to tackle challenges of modern food authentication},
 volume = {10},
 number = {11},
 journal = {Heliyon},
 url = {https://www.sciencedirect.com/science/article/pii/S2405844024083282},
 pdf = {https://www.sciencedirect.com/science/article/pii/S2405844024083282},
 doi = {10.1016/j.heliyon.2024.e32297},
 issn = {2405-8440}}

Efficient Deep Learning Methods for Food Localization in Canteen Trays
(Flavio Piccoli, Marco Buzzelli, Davide Marelli, Simone Bianco, Gianluigi Ciocca, Raimondo Schettini) In 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI), pp. 208-213, 2024.

Download BibTex Doi

@inproceedings{piccoli2024efficient,
 author = {Piccoli, Flavio and Buzzelli, Marco and Marelli, Davide and Bianco, Simone and Ciocca, Gianluigi and Schettini, Raimondo},
 year = {2024},
 pages = {208-213},
 title = {Efficient Deep Learning Methods for Food Localization in Canteen Trays},
 booktitle = {2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)},
 pdf = {/download/piccoli2024efficient.pdf},
 doi = {10.1109/RTSI61910.2024.10761232}}

Quasi Real-Time Apple Defect Segmentation Using Deep Learning
(Mirko Agarla, Paolo Napoletano, Raimondo Schettini) In Sensors, volume 23, number 18, 2023.

Download BibTex Doi

@article{agarla2023quasi,
 author = {Agarla, Mirko and Napoletano, Paolo and Schettini, Raimondo},
 year = {2023},
 title = {Quasi Real-Time Apple Defect Segmentation Using Deep Learning},
 volume = {23},
 number = {18},
 journal = {Sensors},
 url = {https://www.mdpi.com/1424-8220/23/18/7893},
 pdf = {https://www.mdpi.com/1424-8220/23/18/7893/pdf?version=1694706119},
 doi = {10.3390/s23187893},
 issn = {1424-8220}}

DALib: A Curated Repository of Libraries for Data Augmentation in Computer Vision
(Sofia Amarù, Davide Marelli, Gianluigi Ciocca, Raimondo Schettini) In Journal of Imaging, volume 9, number 10, 2023.

Download BibTex Doi Project Page

@article{amaru2023dalib,
 author = {Amarù, Sofia and Marelli, Davide and Ciocca, Gianluigi and Schettini, Raimondo},
 year = {2023},
 title = {DALib: A Curated Repository of Libraries for Data Augmentation in Computer Vision},
 volume = {9},
 number = {10},
 journal = {Journal of Imaging},
 pdf = {https://www.mdpi.com/2313-433X/9/10/232},
 doi = {10.3390/jimaging9100232},
 projectref = {http://www.ivl.disco.unimib.it/activities/dalib/}}

Food Recognition with Visual Transformers
(Simone Bianco, Marco Buzzelli, Gaetano Chiriaco, Paolo Napoletano, Flavio Piccoli) In 2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), pp. 82-87, 2023.

Download BibTex Doi Project Page

@inproceedings{bianco2023food,
 author = {Bianco, Simone and Buzzelli, Marco and Chiriaco, Gaetano and Napoletano, Paolo and Piccoli, Flavio},
 year = {2023},
 pages = {82-87},
 title = {Food Recognition with Visual Transformers},
 booktitle = {2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)},
 url = {https://ieeexplore.ieee.org/document/10375660},
 pdf = {/download/IEEE_Icce_Food_2k.pdf},
 doi = {10.1109/ICCE-Berlin58801.2023.10375660},
 projectref = {http://www.ivl.disco.unimib.it/activities/onfoods/}}

Visualizing Perceptual Differences in White Color Constancy
(Marco Buzzelli) In Journal of Imaging Science and Technology, volume 67, number 5, pp. 1-6, Society for Imaging Science and Technology, 2023.

Download BibTex Doi

@article{buzzelli2023visualizing,
 author = {Buzzelli, Marco},
 year = {2023},
 pages = {1-6},
 title = {Visualizing Perceptual Differences in White Color Constancy},
 volume = {67},
 number = {5},
 publisher = {Society for Imaging Science and Technology},
 journal = {Journal of Imaging Science and Technology},
 url = {https://library.imaging.org/jist/articles/67/5/050404},
 pdf = {/download/JIST_2023_050404_Marco-Buzzelli.pdf},
 doi = {10.2352/J.ImagingSci.Technol.2023.67.5.050404}}