Abstract: Recently, the agricultural sector has had to face several challenges related to the innovation process, the most significant of which seems to be that of its digital transformation. As a consequence, the issue of digital technology adoption is becoming of important scientific interest due to its potential impact on products, services, processes, and new business models. In general, the adoption behavior can be indirectly explained by studying factors that lead a firm to innovate; among these factors, the literature emphasizes the function of networks. The objective of the paper is to investigate the role of networks as key drivers of precision agriculture technologies adoption. To achieve this goal, qualitative research was developed by using 8 case studies recollected among that few Italian farms which can be defined as innovative for having already experienced precision agriculture. Results show that only a few farms can develop and manage innovations internally; success often requires cooperation between individual actors and organizations. Finally, the paper provides some practical advice and a set of propositions for those farms that are trying to achieve digital technological innovations.

Os cafeicultores de Venda Nova do Imigrante, ES, que em sua maioria são agricultores familiares, têm adotado novas tecnologias para melhorar a qualidade do café arábica produzido na região. O objetivo deste trabalho é identificar os fatores que determinam a adoção da tecnologia de despolpamento pelos cafeicultores do município. O modelo Logit é utilizado como instrumento metodológico. Observa-se, pelos resultados, que os aspectos relativos a associativismo, escolaridade, capital próprio, produtividade, rentabilidade e treinamento determinam a adoção da tecnologia de despolpamento. As variáveis que mais contribuem para a adoção da tecnologia de despolpamento são rentabilidade, associativismo e treinamento. | The family farm coffee producers from Venda Nova do Imigrante, ES, have adopted the pulping technology to improve Arabic coffee quality. The objective of this paper is to identify the adoption determinants of the pulping technology by the coffee producers. The Logit model is applied for data analysis. The pulping technology adoption is determined by the variables: coop affiliation, years of school, own capital stock, yield, profitability and training. The variables with greater marginal impact on coffee pulping technology adoption are: profitability, coop affiliation and training.

O processo de adoção tecnológica na agricultura é de fundamental importância para o aumento da produtividade e a melhoria da qualidade dos produtos agrícolas. O objetivo deste artigo é avaliar os determinantes da adoção da tecnologia pós-colheita na cafeicultura em Viçosa (MG), no ano de 2007. Os resultados sugerem que o modelo sequencial é o mais apropriado à análise e que as variáveis associativismo, rentabilidade, treinamento, crédito, capital próprio e escolaridade são os principais determinantes na adoção de estágios mais elevados de tecnologia pós-colheita aplicada à cafeicultura. Os efeitos marginais mais importantes para adoção de maiores níveis tecnológicos são associativismo, treinamento, crédito e rentabilidade. | The process of tecnology adoption in agriculture is fundamentally important for increasing productivity and improving the quality of agricultural products. The objective of this study is to evaluate the factors that determine the technological adoption of post-harvest coffee employed in Viçosa (MG) in the year of 2007. The results indicate that the sequential model is more appropriate for the analysis and the most important determinants for the adoption of higher levels of post-harvest technology are association, profitability, training, education, credit, stock of capital, and years at school. The most important marginal effects for the adoption of higher levels of post-harvest technology are association, training, credit and profitability.