Artificial intelligence in extended agri-food supply chain: A short review based on bibliometric analysis

J Monteiro, J Barata - Procedia Computer Science, 2021 - Elsevier
Climate change and population growth are triggering a digital transformation in agriculture.
Consequently, agri-food supply chains are becoming more intelligent, producing vast …

[HTML][HTML] Artificial intelligence in the agri-food system: Rethinking sustainable business models in the COVID-19 scenario

A Di Vaio, F Boccia, L Landriani, R Palladino - Sustainability, 2020 - mdpi.com
The aim of the paper is to investigate the artificial intelligence (AI) function in agri-food
industry, as well as the role of stakeholders in its supply chain. Above all, from the beginning …

[HTML][HTML] The aspects of artificial intelligence in different phases of the food value and supply chain

V Bačiulienė, Y Bilan, V Navickas, L Civín - Foods, 2023 - mdpi.com
The types of artificial intelligence, artificial intelligence integration to the food value and
supply chain, other technologies embedded with artificial intelligence, artificial intelligence …

[HTML][HTML] Examining the interplay between artificial intelligence and the agri-food industry

A Rejeb, K Rejeb, S Zailani, JG Keogh… - Artificial intelligence in …, 2022 - Elsevier
Artificial intelligence (AI) has advanced at an astounding rate and transformed numerous
economic sectors. Nevertheless, a comprehensive understanding of how AI can improve the …

Ai-Driven predictive analytics in agricultural supply chains: a review: assessing the benefits and challenges of ai in forecasting demand and optimizing supply in …

OA Elufioye, CU Ike, O Odeyemi, FO Usman… - Computer Science & IT …, 2024 - fepbl.com
This study provides a comprehensive review of the integration and impact of Artificial
Intelligence (AI) in agricultural supply chains, focusing on its role in enhancing demand …

[HTML][HTML] Artificial intelligence-based decision support systems in smart agriculture: Bibliometric analysis for operational insights and future directions

A Yousaf, V Kayvanfar, A Mazzoni… - Frontiers in Sustainable …, 2023 - frontiersin.org
As the world population is expected to touch 9.73 billion by 2050, according to the Food and
Agriculture Organization (FAO), the demand for agricultural needs is increasing …

Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda

A Cavazza, F Dal Mas, P Paoloni, M Manzo - British Food Journal, 2023 - emerald.com
Purpose Artificial Intelligence (AI) is a growing technology impacting several business fields.
The agricultural sector is facing several challenges, which may be supported by the use of …

[HTML][HTML] Artificial intelligence in postharvest agriculture: mapping a research agenda

T Fadiji, T Bokaba, OA Fawole… - Frontiers in Sustainable …, 2023 - frontiersin.org
Introduction The implementation of artificial intelligence (AI) in postharvest agriculture has
significantly improved in recent decades, thanks to extensive scientific research. The study …

Special issue on Agri-Food 4.0 and digitalization in agriculture supply chains-New directions, challenges and applications

H Panetto, M Lezoche, JEH Hormazabal… - Computers in …, 2020 - Elsevier
Agri-Food is a complex industry, which challenges a wide range of processes, operations,
and roles world-wide. Moreover, it is largely inefficient with an increasing number of …

[HTML][HTML] Agri-food 4.0 and innovations: Revamping the supply chain operations

V Dadi, SR Nikhil, RS Mor, T Agarwal… - Production Engineering …, 2021 - sciendo.com
The agri-food sector contributes significantly to economic and social advancements globally
despite numerous challenges such as food safety and security, demand and supply gaps …