Title:	A systematic review of the drivers of agriculture 4.0 technologies in the agri-food system.
Authors:	SILVEIRA, F. da BARBEDO, J. G. A.
Affiliation:	FRANCO DA SILVEIRA; JAYME GARCIA ARNAL BARBEDO, CNPTIA.
Date Issued:	2025
Citation:	In: WORKSHOP CIENTÍFICO DO CENTRO DE CIÊNCIA PARA O DESENVOLVIMENTO EM AGRICULTURA DIGITAL – SEMEAR DIGITAL, 2., 2025, Campinas. Anais [...]. Piracicaba: ESALQ/USP, 2025. p. 181-188.
Description:	The integration of Agriculture 4.0 technologies—such as AI, robotics, IoT, machine learning, and drones—into agri-food systems is increasingly essential for addressing global challenges related to food security, sustainability, and productivity. However, the process of adoption faces several challenges, including the rapid pace of technological advancements and the need for specialized skills to effectively integrate these innovations. Identifying the key factors that drive the adoption of these technologies is essential for developing the necessary infrastructure and capabilities for their successful implementation. This study addresses this need by identifying the primary drivers behind the adoption of Agriculture 4.0 technologies in the agri-food system. A Systematic Literature Review (SLR) was conducted, analyzing 70 articles from reputable sources such as Science Direct and Web of Science, based on strict inclusion and exclusion criteria. The identified drivers were grouped into five categories: social, technological, political, economic, and environmental. These drivers encompass various factors—ranging from human behavior to environmental considerations—that influence the decision-making process regarding technology adoption. The insights derived from this analysis offer valuable guidance for both public and private sector stakeholders, enabling them to create targeted policies, investment strategies, and collaborative initiatives to accelerate the adoption of Agriculture 4.0 technologies. By focusing on these drivers, this study contributes to the ongoing efforts to transform the global agri-food system through the integration of advanced technologies, ensuring greater sustainability, efficiency, and food security.
Thesagro:	Inovação
Keywords:	Transformação digital Facilitadores Ecossistema agroalimentar Inteligência artificial Projeto Semear Digital Digital Transformation Innovation Enablers Agri-food ecosystem
ISBN:	978-85-86481-94-9
Notes:	Organização: Silvia Maria Fonseca Silveira Massruhá, Durval Dourado Neto, Luciana Alvim Santos Romani, Jayme Garcia Arnal Barbedo, Édson Luis Bolfe, Ivan Bergier, Maria Angelica de Andrade Leite, Vitor Del Alamo Guarda, Catarina Barbosa Careta.
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CNPTIA)