Analysis of the scientific production on the implementation of artificial intelligence in precision agriculture

Abstract

The implementation of artificial intelligence is having a transformative impact on precision agriculture by optimizing agricultural resources and minimizing environmental impact, with a focus on sustainable development. The objective of the research is to analyze the scientific production on the implementation of artificial intelligence in precision agriculture. The research was conducted under the quantitative paradigm, using a descriptive and retrospective approach, and its implementation was carried out through a bibliometric study. It was conducted in SCOPUS database in the period 2014 - 2024 without language restriction. The behavior of the research was positive with a maximum peak of 112 researches where research articles in the area of computer science predominated. The most productive country was India with 79 research papers, while the most productive affiliation with 18 research papers was the University of Florida in the United States. Four lines of research and the periods with the highest number of citations in the subject were identified, where it was evidenced that the greatest boom was from 2019. Precision agriculture is an agricultural management tool that integrates a group of advanced technologies such as global positioning systems, geographic information systems, remote sensors, drones, internet of things and artificial intelligence, with an impact on optimizing agricultural resources and minimizing environmental impact in terms of territorial development and the fulfillment of sustainable development objectives.