Knowledge Agora



Similar Articles

Title Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda
ID_Doc 78250
Authors Cavazza, A; Dal Mas, F; Paoloni, P; Manzo, M
Title Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda
Year 2023
Published British Food Journal, 125, 13
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.
PDF https://www.emerald.com/insight/content/doi/10.1108/BFJ-02-2023-0132/full/pdf?title=artificial-intelligence-and-new-business-models-in-agriculture-a-structured-literature-review-and-future-research-agenda

Similar Articles

ID Score Article
77857 Di Vaio, A; Boccia, F; Landriani, L; Palladino, R Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario(2020)Sustainability, 12, 12
74951 Rozenstein, O; Cohen, Y; Alchanatis, V; Behrendt, K; Bonfil, DJ; Eshel, G; Harari, A; Harris, WE; Klapp, I; Laor, Y; Linker, R; Paz-Kagan, T; Peets, S; Rutter, SM; Salzer, Y; Lowenberg-DeBoer, J Data-driven agriculture and sustainable farming: friends or foes?(2024)Precision Agriculture, 25, 1
33547 Balaska, V; Adamidou, Z; Vryzas, Z; Gasteratos, A Sustainable Crop Protection via Robotics and Artificial Intelligence Solutions(2023)Machines, 11.0, 8
4759 Das, S; Barve, A; Sahu, NC; Muduli, K Enabling artificial intelligence for sustainable food grain supply chains: an agri 5.0 and circular economy perspective(2023)Operations Management Research, 16, 4
64781 Sortino, A; De Leo, G; Caruso, T; Zinnai, A; Beltrame, F Agri-food: which technologies to guarantee our health?(2023)
64073 Marvin, HJP; Bouzembrak, Y; Van der Fels-Klerx, HJ; Kempenaar, C; Veerkamp, R; Chauhan, A; Stroosnijder, S; Top, J; Simsek-Senel, G; Vrolijk, H; Knibbe, WJ; Zhang, L; Boom, R; Tekinerdogan, B Digitalisation and Artificial Intelligence for sustainable food systems(2022)
Scroll