AgriEngineering is an international, peer-reviewed, open access journal on the engineering science of agricultural and horticultural production, published quarterly online by MDPI.
  • Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
  • High Visibility: indexed within ScopusESCI (Web of Science)PubAg, FSTA, AGRISCAPlus / SciFinder, and other databases.
  • Journal Rank: CiteScore - Q1 (Horticulture)
  • Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 23.5 days after submission; acceptance to publication is undertaken in 4.7 days (median values for papers published in this journal in the first half of 2023).
  • Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Impact Factor: 2.8 (2022); 5-Year Impact Factor: 2.7 (2022)
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Topic in AgriEngineering, Antioxidants, Horticulturae, Nanomaterials, Plants
Recent Progress in Plant Nutrition Research and Plant Physiology Topic Editors: Renato De Mello Prado, Cid Naudi Silva Campos
Deadline: 31 December 2023
Topic in Agriculture, AgriEngineering, Agronomy
Current Research on Intelligent Equipment for Agriculture Topic Editors: Changyuan Zhai, Ning Wang, Jianfeng Zhou
Deadline: 30 June 2024
Special Issue in AgriEngineering
Sensors and Actuators for Crops and Livestock Farming Guest Editors: Santosh Pandey, Tiago Paim
Deadline: 1 October 2023
Special Issue in AgriEngineering
Remote Sensing-Based Machine Learning Applications in Agriculture Guest Editor: Murali Krishna Gumma
Deadline: 1 November 2023
Special Issue in AgriEngineering
Big Data Analytics in Agriculture Guest Editors: Stanley Robson De Medeiros Oliveira, Kleber Xavier Sampaio De Souza, Sônia Ternes
Deadline: 30 November 2023
Special Issue in AgriEngineering
Energy and Water Consumption in Agriculture: Use of Statistical Analysis and Machine-Learning Methods Guest Editors: Michael D. Murphy, John Upton, Paria Sefeedpari, Philip Shine
Deadline: 31 December 2023
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