Author name: ml4date

Exploration of Convective and Infrared Drying Effect on Image Texture Parameters of ‘Mejhoul’ and ‘Boufeggous’ Date Palm Fruit Using Machine Learning Models

Our research paper: “Exploration of Convective and Infrared Drying Effect on Image Texture Parameters of ‘Mejhoul’ and ‘Boufeggous’ Date Palm Fruit Using Machine Learning Models” is now available online. Full bibliographic details are available on the website of FOODS journal (MDPI – CiteScore: 7.4 – Impact Factor: 4.7): https://www.mdpi.com/2304-8158/13/11/1602

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What can artificial intelligence approaches bring to an improved and efficient harvesting and postharvest handling of date fruit (Phoenix dactylifera L.)? A review

Our review paper: “What can artificial intelligence approaches bring to an improved and efficient harvesting and postharvest handling of date fruit (Phoenix dactylifera L.)? A review” is now available online. Full bibliographic details are available on the website of Postharvest Biology and Technology journal (Elsevier – CiteScore: 10.9 – Impact Factor: 7):https://www.sciencedirect.com/science/article/pii/S0925521424001716?dgcid=authorhttps://www.sciencedirect.com/science/article/pii/S0925521424001716

What can artificial intelligence approaches bring to an improved and efficient harvesting and postharvest handling of date fruit (Phoenix dactylifera L.)? A review Read More »

Participation to the VIII School of Biotechnical Systems Engineering conference (Guzowy Piec – Poland)

In the period from 11-14 September 2024, Dr Younes Noutfia and Prof. Ewa Ropelewska participated to the VIII School of Biotechnical Systems Engineering conference held in Guzowy Piec. In the frame of this conference, an oral communication: “Predictive modeling of changes in the physicochemical quality of fresh and dried date palm fruit during cold storage”

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Participation to the 8th Food Engineering Symposium (Warsaw – Poland)

Dr Younes Noutfia and Prof. Ewa Ropelewska participated to the “VIII Sympozjum Inżynierii Żywności” helding in Department of Food Engineering and Production Organization – Institute of Food Sciences SGGW from 1 to 3 July 2024. This symposium was the occasion for presenting ongoing results of the M-LEARN4DATE project through 2 oral presentations: For information, Symposium

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A forward-vision for the application of artificial intelligence technologies in the treatment of dates before and after harvest: Early detection of red palm weevil, as an example

In the frame of M-LEARN4DATE dissemination activities, an Arabic paper entitled “A forward-vision for the application of artificial intelligence technologies in the treatment of dates before and after harvest: Early detection of red palm weevil, as an example” was published within the magazine “Blessed tree” specialized and internationally known by publication of original Arabic papers

A forward-vision for the application of artificial intelligence technologies in the treatment of dates before and after harvest: Early detection of red palm weevil, as an example Read More »

A forward-vision for the application of artificial intelligence technologies in the treatment of dates before and after harvest: Early detection of red palm weevil, as an example

In the frame of M-LEARN4DATE dissemination activities, an Arabic paper entitled “A forward-vision for the application of artificial intelligence technologies in the treatment of dates before and after harvest: Early detection of red palm weevil, as an example” was published within the magazine “Blessed tree” specialized and internationally known by publication of original Arabic papers

A forward-vision for the application of artificial intelligence technologies in the treatment of dates before and after harvest: Early detection of red palm weevil, as an example Read More »

What can artificial intelligence approaches bring to an improved and efficient harvesting and postharvest handling of date fruit (Phoenix dactylifera L.)? A review

Our review paper: “What can artificial intelligence approaches bring to an improved and efficient harvesting and postharvest handling of date fruit (Phoenix dactylifera L.)? A review” is now available online. Full bibliographic details are available on the website of Postharvest Biology and Technology journal (Elsevier – CiteScore: 10.9 – Impact Factor: 7):https://www.sciencedirect.com/science/article/pii/S0925521424001716?dgcid=authorhttps://www.sciencedirect.com/science/article/pii/S0925521424001716

What can artificial intelligence approaches bring to an improved and efficient harvesting and postharvest handling of date fruit (Phoenix dactylifera L.)? A review Read More »

Participation to the 3rd POLONEZ BIS Kick-off Meeting (Krakow – Poland)

On 30 November and 1st December 2023, dr Noutfia Younes and Prof. Ewa Ropelewska took part at the 3rd Polonez-Bis KoM that held at National Center of Science (NCN – Kraków). During these two days, the PI and the Mentor of M-LEARN4DATE project followed the rich program of this event consisted mainly on valuable lectures

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