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International Journal of Agricultural and Biological Engineering (IJABE), 

A peer-reviewed open access international journal

IJABE’s SCI Journal Impact Factor reached 1.267 in JCR 2017
We are pleased to share the good news that the International Journal of Agricultural and Biological Engineering (IJABE) received its latest impact factor of 1.267, according to 2018 update of its Journal Citation Reports® (JCR2017) released by Clarivate Analytics on June 26, 2018. Based on the JIF values, IJABE ranks 8th out of 14 SCI-indexed journals in the category of agricultural engineering, locating in Q3 Quartile, and most of the higher ranking journals in the category are “specialty journals” that are not directly comparable with traditional agricultural engineering journals such as IJABE. IJABE was established as an open access journal in 2008, publishing both in print and online version at https://www.ijabe.org. We greatly appreciate and warmly welcome your support to IJABE. According to the latest citation data from Web of Science All Databases by Clarivate Analytics accessed on July 10, 2018, IJABE has released 843 total publications, with 2390 citing articles including 2140 without self-citations, and with the sum of times cited reached 2907, including 2288 without self-citations, and the h-index reached 18 with 3.45 average citations per item. In terms of Web of Science Core Collection till July 10, 2018, IJABE released 633 total publications, with 916 citing articles including 700 without self-citations, and with the sum of times cited reached 1284, including 770 without self-citations, and the h-index reached 13 with 2.03 average citations per item. 2018 Copyright ABE Publishing.
 
 
 

 

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Artificial Intelligence in Agriculture 

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 international, 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
  • Intelligent systems for animal feeding
  • 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
The journal welcomes original research articles, review articles, perspective papers and short communications. The journal’s editorial leadership welcome suggestions and proposals for special issues.
 
 
 

 

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