AI and IoT for Smart Agriculture A Bibliometric Analysis of Research Trends and Applications

Description

This bibliographic review explores the development of Artificial Intelligence (AI) and the Internet of Things (IoT) applications in agriculture. It also analyzes publication trends, emerging technologies, and themes related to precision agriculture, automation, irrigation systems, crop monitoring, and computer vision. It will cover a wide range of issues related to the role of Artificial Intelligence (AI) and the Internet of Things (IoT) in agriculture. It is hoped that this study will significantly improve the future of agriculture by successfully implementing AI and IoT in real-world farming practices.

Steps to reproduce

1. Use Scopus database as a data source. 2. Enter the following search in the advanced document search: TITLE-ABS-KEY (( "artificial intelligence" OR "machine learning" OR "deep learning" ) AND ( "internet of things" OR IoT OR "sensor network"OR"wireless sensor network") AND ( "smart agriculture" OR "precision agriculture"OR"smart farming"OR"digital agriculture" )) AND ( LIMIT-TO ( DOCTYPE,"cp" ) OR LIMIT-TO (DOCTYPE,"ar")) AND (LIMIT-TO(LANGUAGE ,"English" )) 3. Filter the data in Scopus only by document types: conference paper, article, and book chapter, as well as English-language documents.

Institutions

• Binus University

  Jakarta, Jakarta

Categories

Licence