Título:	Drivers and barriers to digital agriculture adoption: a mixed-methods analysis of challenges and opportunities in Latin American.
Autoria:	DIBBERN, T. ROMANI, L. A. S. MASSRUHA, S. M. F. S.
Afiliação:	THAIS DIBBERN; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; SILVIA MARIA FONSECA S MASSRUHA, PR.
Ano de publicação:	2025
Referência:	Sustainability, v. 17, n. 8, 3676, 2025.
Conteúdo:	This study aims to identify and analyze the adoption of digital agriculture in Latin America, focusing on Brazil, by examining barriers and drivers across diverse biomes. It identifies key factors influencing technology integration using a mixed-methods approach, including a literature review and empirical data from selected Brazilian municipalities. The central barriers include limited digital literacy, financial constraints, labor shortages, service provider accessibility, and infrastructure inadequacies. Drivers encompass productivity gains, cost reduction, improved management, infrastructure availability, and producer education. This research highlights the need for strategic policy interventions to address these barriers, enhancing digital literacy, infrastructure, and connectivity. Overcoming these challenges is crucial for realizing the transformative potential of digital agriculture and promoting productivity, sustainability, and economic development in the region.
Thesagro:	Agricultura Sustentável
NAL Thesaurus:	Sustainable agriculture Artificial intelligence
Palavras-chave:	Agricultura digital Inteligência artificial Tecnologias digitais Climate-smart practices Smart agriculture AI in agriculture Digital technologies Digital agriculture
ISSN:	2071-1050
Digital Object Identifier:	https://doi.org/10.3390/su17083676
Notas:	Na publicação: Luciana Romani, Silvia Massruhá.
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em anais de congresso (CNPTIA)