A Correlational Study of Two U.S. State Extension Professionals' Behavioral Intentions to Improve Sustainable Food Chains through Precision Farming Practices

• Published in: Foods 2023-05, Vol.12 (11), p.2208
• Main Authors: Lee, Chin-Ling, Strong, Robert, Briers, Gary, Murphrey, Theresa, Rajan, Nithya, Rampold, Shelli
• Format: Article
• Language: English
• Subjects: Age; Agricultural industry; Agricultural management; Agricultural practices; Agricultural production; Agricultural technology; Agriculture; Analysis; Behavior; change agents; Communication; Correlational studies; Crops; Expectancy; Farmers; Farming; Farms; Food chains; Food chains (Ecology); Food science; Food security; Food supply; Fruits; Gender; Influence; Information dissemination; Innovations; innovative agricultural practices; performance expectancy; Population; Precision farming; Professional development; professional development programs; Professionals; social influence; Sustainability; Sustainable agriculture; Sustainable development; Technological change; Technology; Technology Acceptance Model; Technology adoption; Technology utilization; Training; UTAUT model; Variables
• ISSN: 2304-8158; 2304-8158
• DOI: 10.3390/foods12112208

Precision farming provides one of the most important solutions for managing agricultural production to advance global food security. Extending professionals' competencies to promote precision farming practices can increase the adoption rate, ultimately impacting food security. Many studies have addressed barriers to the adoption of precision farming technologies from the farmers' perspective. However, few are available data on the perspectives of extension professionals. Agricultural extension professionals play an important role in innovative agricultural technology adoption. Thus, this study applied four constructs from the unified theory of acceptance and use of technology (UTAUT) model to investigate behavioral intentions to promote precision farming among extension professionals from two extension systems. In total, 102 ( = 102) agricultural extension professionals were surveyed. The results indicated that performance expectancy and social influence were individually significant predictors of extension professional behavioral intentions to promote precision farming technologies. There were no significant differences between the professionals of two extension systems. Gender, age, and years of service did not affect extension professionals' intention to promote precision agriculture technologies. The data suggested the need for training programs to develop advanced competencies to promote agricultural innovation. This study contributes to the future professional development programs for extension professionals on communicating innovations to address food security and sustainability issues.