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 such a new advanced technology. The aim of the paper is to map the state-of-the-art of AI applications in agriculture, their advantages, barriers, implications and the ability to lead to new business models, depicting a future research agenda. Design/methodology/approach – A structured literature review has been conducted, and 37 contributions have been analyzed and coded using a detailed research framework. Findings – Findings underline the multiple uses and advantages of AI in agriculture and the potential impacts for farmers and entrepreneurs, even from a sustainability perspective. Several applications and algorithms are being developed and tested, but many barriers arise, starting from the lack of understanding by farmers and the need for global investments. A collaboration between scholars and practitioners is advocated to share best practices and lead to practical solutions and policies. The promising topic of new business models is still under- investigated and deserves more attention from scholars and practitioners. Originality/value – The paper reports the state-of-the-art of AI in agriculture and its impact on the development of new business models. Several new research avenues have been identified.

Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda / Cavazza, Alberto; Dal Mas, Francesca; Paoloni, Paola; Manzo, Martina. - In: BRITISH FOOD JOURNAL. - ISSN 0007-070X. - 125:13(2023), pp. 436-461. [10.1108/BFJ-02-2023-0132]

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

Paoloni, Paola
Penultimo
;
2023

Abstract

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 such a new advanced technology. The aim of the paper is to map the state-of-the-art of AI applications in agriculture, their advantages, barriers, implications and the ability to lead to new business models, depicting a future research agenda. Design/methodology/approach – A structured literature review has been conducted, and 37 contributions have been analyzed and coded using a detailed research framework. Findings – Findings underline the multiple uses and advantages of AI in agriculture and the potential impacts for farmers and entrepreneurs, even from a sustainability perspective. Several applications and algorithms are being developed and tested, but many barriers arise, starting from the lack of understanding by farmers and the need for global investments. A collaboration between scholars and practitioners is advocated to share best practices and lead to practical solutions and policies. The promising topic of new business models is still under- investigated and deserves more attention from scholars and practitioners. Originality/value – The paper reports the state-of-the-art of AI in agriculture and its impact on the development of new business models. Several new research avenues have been identified.
2023
Artificial intelligence; agriculture; agritech; business models; literature review; AI-Based applications; sustainability; sustainable business models; agricultural policies;
01 Pubblicazione su rivista::01a Articolo in rivista
Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda / Cavazza, Alberto; Dal Mas, Francesca; Paoloni, Paola; Manzo, Martina. - In: BRITISH FOOD JOURNAL. - ISSN 0007-070X. - 125:13(2023), pp. 436-461. [10.1108/BFJ-02-2023-0132]
File allegati a questo prodotto
File Dimensione Formato  
Paoloni_Artificial_2023.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 1.71 MB
Formato Adobe PDF
1.71 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1685893
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 5
social impact