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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50202 - Applied Economics, Econometrics

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

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

Name of the periodical

Foods

ISSN

2304-8158

e-ISSN

2304-8158

Volume of the periodical

12

Issue of the periodical within the volume

APR 2023

Country of publishing house

CH - SWITZERLAND

Number of pages

12

Pages from-to

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UT code for WoS article

000977862500001

EID of the result in the Scopus database

2-s2.0-85156192333