Accessing the Perceptions of Precision Laser Weeding: A Pilot Study on Measurement Reliability

The agricultural labor shortage has exacerbated challenges related to labor costs associated with weed control, increasing the need for mechanization and labor-saving technologies. Intelligent laser robots employing artificial intelligence models can accurately identify weeds and precisely target them, reducing the need for herbicide application and improving crop yield. However, farmer adoption is contingent upon attitudes, access to training, financial incentives, and compatibility with current farming practices. This pilot study used the Theory of Planned Behavior as the theoretical framework to explore Georgia fruit and vegetable growers’ perceptions of laser weeding technology and to enhance and evaluate a laser weeding perception survey tool.Five Vidalia onion growers participated in a survey assessing attitude, perceived behavioral control, subjective norms, intention, and technology use experience. Cronbach’s alpha indicated substantial reliability for attitude (α = 0.956) and perceived behavioral control (α = 0.924), while subjective norms and technology use experience displayed low reliability. Findings suggest the necessity for refinement of specific items prior to wider implementation. Despite constraints, farmers showed willingness to utilize technology but highlighted financial and educational obstacles, underscoring the importance of extension networks, demonstration farms, and targeted support strategies.