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This research aims to evaluate the evolution and application of artificial intelligence in agriculture from 2020 to 2025.

July 30, 2026AgriEngineeringOpen Access

Mapping the Evolution of Artificial Intelligence in Agriculture: A Large-Scale BERTopic Analysis of Smart Farming, Automation, and Precision Systems (2020–2025)

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Descriptive bibliometric analysis identifies trends in AI applications for agriculture, suggesting future directions for development.

This research aims to evaluate the evolution and application of artificial intelligence in agriculture from 2020 to 2025.
Analyzed 31,452 publications on AI in agriculture from Scopus using bibliometric and thematic synthesis.
Employed BERTopic topic modeling, temporal trend analysis, and centrality-density mapping to identify trends.
Identified six higher-order themes, focusing on crop and production intelligence and periphery applications.
The analysis shows crop-related applications of computer vision dominate current research.
Significant focus on production-oriented applications identified, with other areas like livestock and sustainability being less explored.
The need for interoperable and farmer-centered systems highlighted for future agricultural development.

Capilitan et al. (2026) studied this question.

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