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