Artificial Intelligence in Precision Agriculture: trends and future directions
DOI:
https://doi.org/10.35588/mwfneb13Keywords:
Precision agriculture, artificial intelligence, agricultural sustainability, technology adoptionAbstract
The demand for global agricultural production has led to the search for different tools that contribute to the optimal management of resources. This research presents a bibliometric mapping on the use of artificial intelligence in precision agriculture through the analysis of 479 articles published between 2019 and 2024 in Scopus and Web of Science databases, allowing to identify a higher scientific production in countries with strong technological investment. Artificial intelligence has revolutionized precision agriculture through the use of sensors, machine learning, robotics and predictive analytics, allowing to improve productivity, reduce costs and mitigate environmental impacts; which has allowed the development of research lines that include crop monitoring, early disease detection, smart irrigation and sustainable agriculture. However, adoption faces barriers such as the digital divide, high initial costs and limited technical training in rural areas; therefore, if a more efficient, resilient and inclusive agriculture is envisioned, a strategic, gradual and context-adapted implementation must be carried out.
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2025-07-15Published
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Copyright (c) 2025 Dr. Oscar Fabian Patiño Perdomo, Dr. Víctor Julio Balanta Martínez, Dr. Wilmer Arley Patiño Perdomo, Paula Andrea Sánchez Orozco, Dr. Jesús Emilio Pinto Lopera
This work is licensed under a Creative Commons Attribution 4.0 International License.
