Information Processing in Agriculture Impact Factor, Quartile, Indexing, Ranking

Information Processing in Agriculture Impact Factor, Indexing, Ranking

Information Processing in Agriculture (IPA) is a scholarly journal dedicated to publishing research in the field of Computer Science, and Published by Elsevier. The Print-ISSN of Information Processing in Agriculture is 2214-3173 and its abbreviation is Inf Process Agric.

The latest Impact Factor of the Information Processing in Agriculture for 2024-2025 is 10.60.

There are no fees payable (APC) to submit or publish in this journal.


Information Processing in Agriculture Aim and Scope

Information Processing in Agriculture (IPA) was established in 2013 to encourage the development of science and technology related to information processing in agriculture, through the following aims:
• Promote the use of knowledge and methods from information processing technologies in agriculture;
• Report on experiences and publications of institutes, universities, and government, as well as profitable technologies for agriculture;
• Provide a platform and opportunities for exchanging knowledge, strategies, and experiences among information processing researchers worldwide;
• Promote and encourage interactions among agriculture scientists, meteorologists, biologists (pathologists/entomologists), information technology professionals, and other stakeholders to develop and implement methods, techniques, and tools related to information processing technology in agriculture;
• Create and promote expert groups for the development of agro-meteorological databases, crop and livestock modeling, and applications for the development of crop performance-based decision support systems.


Information Processing in Agriculture Details


Journal title Information Processing in Agriculture (IPA)
Abbreviation Inf Process Agric
Print ISSN 2214-3173
Publisher Name Elsevier
Editor-in-chief Professor Daoliang Li, PhD China Agricultural University College of Information and Electrical Engineering, Beijing, China
Subject Category Computer Science
Access type Logo of open access journals Open Access
Status 🟢 Active

Information Processing in Agriculture Metrics and Rankings

In the context of academic journals, "Metrics and Rankings" refer to various measures and evaluations used to assess the quality, influence, and impact of a journal.

Below are the metrics and rankings for the journal Information Processing in Agriculture

Impact Factor 10.60
SJR 0.963
SNIP 2.559
Ranking 2862
CiteScore 13.7
H-Index 45
Quartile Q1

Information Processing in Agriculture Abstracting and Indexing

Abstracting and Indexing (A&I) refers to the processes that help organize and categorize academic journals, making them easier to find and access for researchers and scholars

Abstracting and Indexing

Information Processing in Agriculture Submission

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Journal Submission 🔗 Journal Website

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