Artificial Intelligence (AI) techniques are widely used to solve a variety of problems and to optimize the production and operation processes in the fields of agriculture, food and bio-system engineering.
Artificial Intelligence in Agriculture is an Open Access journal, publishing original research, reviews and perspectives on the theory and practice of artificial intelligence (AI) in agriculture, food and bio-system engineering and related areas.
Artificial Intelligence in Agriculture serves as an interdisciplinary forum to share ideas and solutions related to artificial intelligence and applications in agriculture.
The journal welcomes both fundamental science and applied research describing the practical applications of AI methods in the fields of agriculture, food - and bio-system engineering and related areas.
Topics of interest to the journal include, but are not limited to:
AI-based decision support systems-
AI-based precision agriculture-
Smart sensors and Internet of Things-
Agricultural robotics and automation equipment-
Agricultural knowledge-based systems-
Computational intelligence in agriculture, food and bio-systems-
AI in agricultural optimization management-
Intelligent interfaces and human-machine interaction-
Machine vision and image/signal processing-
Machine learning and pattern recognition-
Neural networks, fuzzy systems, neuro-fuzzy systems-
Systems modeling and analysis-
Intelligent systems for animal feeding-
Expert systems in agriculture-
Crop Phenotyping and analysis-
Remote sensing in agriculture-
AI technology in aquiculture-
AI in food engineering and cold chain logistics-
Big Data and Cloud Computing-
Automatic navigation and self-driving technology-
Precision agricultural aviation-
Distributed ledger technology (Blockchain)
Abstracting & Indexing
ScopusGoogle ScholarDirectory of Open Access Journals (DOAJ)Web of Science
Detailed Metrics
Total Docs. (latest)
58
Total Docs. (3 years)
86
Total Refs.
3,818
Total Citations (3 years)
2,112
Citable Docs. (3 years)
86
Citations / Doc. (2 years)
21.59
Ref. / Doc.
65.83
% Female
28.3%
Metrics Visualization
Latest year data vs 3-year cumulative figures
Female: 28.3% |
Male: 71.7%
Citations / Doc. (2yr)21.59
High impact
References / Doc.65.83
High refs
Citable / Total Docs (3yr)100.0%
Publication & Citation Trend
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Top 10 Most Cited Articles
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Frequently Asked Questions
What is the impact factor of Artificial Intelligence in Agriculture?
The official Journal Impact Factor (JIF) is published by Clarivate in the Journal Citation Reports (JCR) and is not listed on this page. Based on SCImago data, Artificial Intelligence in Agriculture has an SJR of 2.496 and is ranked Q1.
What is the SJR and quartile of Artificial Intelligence in Agriculture?
Artificial Intelligence in Agriculture has an SJR (SCImago Journal Rank) of 2.496 and its best quartile is Q1.
What is the H-index of Artificial Intelligence in Agriculture?
The H-index of Artificial Intelligence in Agriculture is 44, meaning 44 of its articles have each been cited at least 44 times.
Is Artificial Intelligence in Agriculture indexed in Scopus?
Yes. Artificial Intelligence in Agriculture is active in Scopus (Scopus Source List, August 2026).