Short food supply chains versus meal planning using artificial intelligence

A healthy diet, organic food products, promoting local food products are important issues for modern man. The consumer is looking for healthy and valuable food products directly from the farmer (producer). Therefore, the issue of shaping short food supply chains from local farmers is gaining importance. The consumer uses applications to search for recipes and plan meals (breakfast, lunch, dinner) and multifunctional devices to prepare them. Such repetitive activities can be personalized, automated through the use of artificial intelligence, which will significantly facilitate the consumer’s activity in this area. The aim of the article is to define an artificial intelligence module for planning meals using local food products supplied directly by farmers. The important elements of the module are: short food supply chains from local farmers, planning and preparing daily meals and identifying relationships in the area of artificial intelligence.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.10.029
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
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article

Short food supply chains versus meal planning using artificial intelligence

Patrycjusz Zarębski, Agnieszka Kurdyś-Kujawska, Norbert Chamier-Gliszczyński
Procedia Computer Science
Food Waste Reduction and Sustainability
article

Short food supply chains versus meal planning using artificial intelligence

Patrycjusz Zarębski, Agnieszka Kurdyś-Kujawska, Norbert Chamier-Gliszczyński
article en

Abstract

A healthy diet, organic food products, promoting local food products are important issues for modern man. The consumer is looking for healthy and valuable food products directly from the farmer (producer). Therefore, the issue of shaping short food supply chains from local farmers is gaining importance. The consumer uses applications to search for recipes and plan meals (breakfast, lunch, dinner) and multifunctional devices to prepare them. Such repetitive activities can be personalized, automated through the use of artificial intelligence, which will significantly facilitate the consumer’s activity in this area. The aim of the article is to define an artificial intelligence module for planning meals using local food products supplied directly by farmers. The important elements of the module are: short food supply chains from local farmers, planning and preparing daily meals and identifying relationships in the area of artificial intelligence.

Procedia Computer ScienceVol. 270
Koszalin University of Technology (PL)
Openalex Percentile: Top 61%
Food Waste Reduction and Sustainability
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Short food supply chains versus meal planning using artificial intelligence — Patrycjusz Zarębski, Agnieszka Kurdyś-Kujawska, et al. · Procedia Computer Science (2025) | TGRS Research Map | TGRS