Effects of AI on Smart Agriculture: A Case Study of Digital Agriculture Base

Abstract

Smart agriculture in China still faces difficulties in the transformation of agricultural achievements by AI technology and the scattering of land. The current problems in smart agriculture are a serious shortage of talent, scattered data, a weak mass base, unfocused land and weak agricultural technology companies. To address the problems in the development of smart agriculture. Based on the earlier research, the hypothesis that AI technology plays a positive role in the development of smart agriculture. Combining case study and phenomenology of qualitative analysis theory, field observation, focus group discussion and in-depth interviews were used to conduct an in-depth qualitative analysis using the digital agriculture base as a typical smart agriculture construction. Artificial intelligence technology has been widely used in agricultural production, especially in the Digital Agriculture Base, and is an important part of the construction of smart agriculture. It has played a catalytic role in the development of the agricultural economy and the improvement of agricultural production efficiency. This paper explores the impact of AI technology on the development of smart agriculture, and the obstacles to implement AI technology into the construction of smart agriculture, with a view to propose strategies to sustainably promote the construction of smart agriculture. The results show that the hypothesis of AI technology has a positive effect on the construction of smart agriculture holds true.