Artificial intelligence and agriculture: New challenges in the agricultural sector

Abstract

Objetive of the study: Analyze the application of artificial intelligence to agriculture, the different uses and applicable legislation. Methodology/approach: Methodology based on the study of the applicable legislation is used, as well as the analysis of the doctrine on the matter. On this a hypothesis is formulated that is based on the doctrinal deduction for the application to the questions raised. Originality/Relevance: This study shows the relationship between agriculture and artificial intelligence with the application of the most recent legislation, and with the contribution of solutions to the different problems posed in relation to the agricultural sector that has as a challenge computerization in its activity. Main results: Various applications of artificial intelligence are evidenced in the field of agriculture, such as machines and sensors for various agricultural activities. Different legislation applicable to it. Various issues in relation to the data used in the applications and its protection regime. Theoretical/methodological contributions: Application of artificial intelligence to agriculture and the need to draft own legislation on the matter. Social/management contributions: Need to establish good practices in the management of informatics applied to agriculture in relation to artificial intelligence.