Projects funded by the NCN
A novel approach to the assessment of date fruit quality (Phoenix dactylifera L.) under different storage conditions, using innovative models based on image analyses and machine learning
2022/45/P/NZ9/03904
Keywords:
Descriptors:
- NZ9_007:
Panel:
NZ9 - Fundamentals of applied life sciences and biotechnology: agricultural, forestry, horticulture, animal production and fishery, food and nutrition sciences, industrial biosciences, environmental biotechnology and remediation
Host institution :
Instytut Ogrodnictwa - Państwowy Instytut Badawczy
woj. łódzkie
Principal investigator (from the host institution):
Number of co-investigators in the project: 6
Call: POLONEZ BIS 2 - announced on 2022-03-28
Amount awarded: 984 264 PLN
Project start date (Y-m-d): 2023-08-01
Project end date (Y-m-d): 2025-07-31
Project duration:: 24 months (the same as in the proposal)
Project status: Project completed
Project description
Download the project description in a pdf file
Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
- Publication in academic press/journals (2)
- Exploration of Convective and Infrared Drying Effect on Image Texture Parameters of 'Mejhoul'and 'Boufeggous' Date Palm Fruit Using Machine Learning ModelsAuthors:Noutfia, Y., & Ropelewska, EAcademic press:Foods (rok: 2024, tom: 13(11), strony: 13), Wydawca: MDPIStatus:PublishedDOI:10.3390/foods13111602 - link to the publication
- What can artificial intelligence approaches bring to an improved and efficient harvesting and postharvest handling of date fruit (Phoenix dactylifera L.)? A reviewAuthors:Noutfia, Y., & Ropelewska, EAcademic press:Postharvest Biology and Technology (rok: 2024, tom: 213, strony: 10), Wydawca: ElsevierStatus:PublishedDOI:10.1016/j.postharvbio.2024.112926 - link to the publication