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The Aspects of Artificial Intelligence in Different Phases of the Food Value and Supply Chain

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96704" target="_blank" >RIV/60460709:41110/23:96704 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://doi.org/10.3390/foods12081654" target="_blank" >https://doi.org/10.3390/foods12081654</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/foods12081654" target="_blank" >10.3390/foods12081654</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    The Aspects of Artificial Intelligence in Different Phases of the Food Value and Supply Chain

  • Popis výsledku v původním jazyce

    The types of artificial intelligence, artificial intelligence integration to the food value and supply chain, other technologies embedded with artificial intelligence, artificial intelligence adoption barriers in the food value and supply chain, and solutions to overcome these barriers were analyzed by the authors. It was demonstrated by the analysis that artificial intelligence can be integrated vertically into the entire food supply and value chain, owing to its wide range of functions. Different phases of the chain are affected by developed technologies such as robotics, drones, and smart machines. Different capabilities are provided for different phases by the interaction of artificial intelligence with other technologies such as big data mining, machine learning, the Internet of services, agribots, industrial robots, sensors and drones, digital platforms, driverless vehicles and machinery, and nanotechnology, as revealed by a systematic literature analysis. However, the application of artificial intelligence is hindered by social, technological, and economic barriers. These barriers can be overcome by developing the financial and digital literacy of farmers and by disseminating good practices among the participants of the food supply and value chain.

  • Název v anglickém jazyce

    The Aspects of Artificial Intelligence in Different Phases of the Food Value and Supply Chain

  • Popis výsledku anglicky

    The types of artificial intelligence, artificial intelligence integration to the food value and supply chain, other technologies embedded with artificial intelligence, artificial intelligence adoption barriers in the food value and supply chain, and solutions to overcome these barriers were analyzed by the authors. It was demonstrated by the analysis that artificial intelligence can be integrated vertically into the entire food supply and value chain, owing to its wide range of functions. Different phases of the chain are affected by developed technologies such as robotics, drones, and smart machines. Different capabilities are provided for different phases by the interaction of artificial intelligence with other technologies such as big data mining, machine learning, the Internet of services, agribots, industrial robots, sensors and drones, digital platforms, driverless vehicles and machinery, and nanotechnology, as revealed by a systematic literature analysis. However, the application of artificial intelligence is hindered by social, technological, and economic barriers. These barriers can be overcome by developing the financial and digital literacy of farmers and by disseminating good practices among the participants of the food supply and value chain.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    50202 - Applied Economics, Econometrics

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Foods

  • ISSN

    2304-8158

  • e-ISSN

    2304-8158

  • Svazek periodika

    12

  • Číslo periodika v rámci svazku

    APR 2023

  • Stát vydavatele periodika

    CH - Švýcarská konfederace

  • Počet stran výsledku

    12

  • Strana od-do

  • Kód UT WoS článku

    000977862500001

  • EID výsledku v databázi Scopus

    2-s2.0-85156192333