Drivers and barriers to digital agriculture adoption: a mixed-methods analysis of challenges and opportunities in Latin American.
No hay miniatura disponible
Fecha
Título de la revista
ISSN de la revista
Título del volumen
Editor
Resumen
Descripción
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.
Na publicação: Luciana Romani, Silvia Massruhá.
Na publicação: Luciana Romani, Silvia Massruhá.
Palabras clave
Agricultura digital, Inteligência artificial, Tecnologias digitais, Climate-smart practices, Smart agriculture, AI in agriculture, Digital technologies, Digital agriculture, Agricultura Sustentável, Sustainable agriculture, Artificial intelligence