Artificial Intelligence in Agriculture
Artificial Intelligence in Agriculture, abbreviated AIA, is a peer-reviewed open access quarterly journal founded in 2019 and published by KeAi, covering the theory and practice of artificial intelligence in agriculture, food and bio-system engineering, with a 2025 Journal Impact Factor of 16.1《农业人工智能》(AIA)是 2019 年创办、由(KeAi)出版的同行评审开放获取季刊,涵盖人工智能在农业、食品与生物系统工程中的理论与实践,2025 年影响因子为 16.1。
Scope
- It publishes original research, reviews and perspectives on the theory and practice of artificial intelligence in agriculture, food and bio-system engineering刊载人工智能在农业、食品与生物系统工程领域理论与实践方面的原创研究、综述与观点文章。[1]
- It serves as an interdisciplinary forum to share ideas and solutions related to artificial intelligence and applications in agriculture该刊作为跨学科论坛,分享人工智能及其农业应用相关的思想与解决方案。
- Topics include AI-based decision support systems and AI-based precision agriculture主题包括基于人工智能的决策支持系统与精准农业。[2]
- It also covers smart sensors and the Internet of Things, agricultural robotics and automation equipment还涵盖智能传感器与物联网、农业机器人及自动化装备。
- Further topics are machine vision, image and signal processing, machine learning and pattern recognition as well as neural networks and fuzzy systems其他主题包括机器视觉、图像与信号处理、机器学习与模式识别,以及神经网络与模糊系统。
- Other areas include remote sensing in agriculture, crop phenotyping, expert systems, big data and cloud computing其他领域包括农业遥感、作物表型分析、专家系统、大数据与云计算。
- It also addresses AI in food engineering and cold chain logistics and distributed ledger technology该刊还涉及食品工程与冷链物流中的人工智能,以及分布式账本技术。[3]
History
- It was founded in 2019 and is sponsored by Science Press under the Chinese Academy of Sciences该刊于 2019 年创刊,由中国科学院下属的科学出版社主办。
- It is published and operated by KeAi Communications, a joint venture of Elsevier and China Science Publishing and Media该刊由(KeAi Communications)出版运营,后者是(Elsevier)与(China Science Publishing and Media)的合资公司。
- It appears quarterly, publishing four issues per year该刊为季刊,每年出版四期。
- It is a fully open access journal with an article publishing charge of USD 1100该刊是完全开放获取期刊,文章处理费为 1100 美元。
- It has been indexed in SCIE, Scopus and DOAJ, having joined DOAJ in February 2020该刊已被(SCIE)、(Scopus)与(DOAJ)收录,于 2020 年 2 月进入(DOAJ)。
- Its Journal Impact Factor was 12.4 in 2024 and 16.1 in 2025其影响因子 2024 年为 12.4,2025 年为 16.1。
Editors
- Its Editor-in-Chief is Chunjiang Zhao of the National Engineering Research Center for Information Technology in Agriculture其主编为(National Engineering Research Center for Information Technology in Agriculture)的 Chunjiang Zhao。
- Baohua Zhang of Nanjing Agricultural University serves as Executive Editor-in-Chief执行主编为(Nanjing Agricultural University)的 Baohua Zhang。
- Associate Editors include Thomas Banhazi of the University of Southern Queensland and Daniel Cozzolino of the University of Queensland副编辑包括(University of Southern Queensland)的 Thomas Banhazi 与(University of Queensland)的 Daniel Cozzolino。
- Other Associate Editors are Noboru Noguchi of Hokkaido University, Gregory O'Hare of University College Dublin and Kerry Walsh of Central Queensland University其他副编辑为(Hokkaido University)的 Noboru Noguchi、(University College Dublin)的 Gregory O'Hare 与(Central Queensland University)的 Kerry Walsh。
- Further Associate Editors are Jie Xu of Harvard University, Chengliang Liu of Shanghai Jiao Tong University and Simon X. Yang of the University of Guelph另有副编辑(Harvard University)的 Jie Xu、(Shanghai Jiao Tong University)的 Chengliang Liu 与(University of Guelph)的 Simon X. Yang。
- The board also includes Sultan Kocaman of Hacettepe University and In-Bok Lee of Seoul National University编委会还包括(Hacettepe University)的 Sultan Kocaman 与(Seoul National University)的 In-Bok Lee。
References
- ^Jha K, Doshi A, Patel P, Shah M. A comprehensive review on automation in agriculture using artificial intelligence. Artificial Intelligence in Agriculture, 2019, 2: 1-12. doi:10.1016/j.aiia.2019.05.004
- ^Talaviya T, Shah D, Patel N, Yagnik H, Shah M. Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides. Artificial Intelligence in Agriculture, 2020, 4: 58-73. doi:10.1016/j.aiia.2020.04.002
- ^Tan J, Xu J. Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination - A review. Artificial Intelligence in Agriculture, 2020, 4: 104-115. doi:10.1016/j.aiia.2020.06.003