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. Elsevier is the publisher of this esteemed journal. The P-ISSN assigned to Information Processing in Agriculture is 2214-3173 and its abbreviated form is Inf Process Agric.

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.

Abbreviation : ISO Journal abbreviation refers to the shortened form or acronym used to represent the full title of a scholarly journal. The ISO4 Abbreviation of Information Processing in Agriculture Journal is Inf Process Agric.

The Ranking of the Journal in 2024 is 4480. Ranking systems aim to provide an indication of a journal's quality, influence, and prestige within a specific field or discipline.

The Journal's Impact Factor in 2024 is 10.60. it is all calculated by Clarivate, which means how many times a particular citation has been published in the past two years.

List of All Journal Impact Factors

The Journal SCImago in 2024 is 0.963. It is measured by the number of citations which are made by the particular journals, and the journal from where the citations arrived from.

The Journal's H-Index in 2024 is 45. The H-index is calculated on how many times a particular author is cited and the number of published papers that a particular author has.

The Journal's Quartile is Q1. A quartile has three points, which are the upper quartile, median, and lower quartile. The main motive of the quartile is to calculate the interquartile range, that resembles the changes across the median.

The Journal is indexed in (Indexing details)

• 1. Scopus
• 2. Google Scholar
• 3. DOAJ

Indexing services aim to make it easier for researchers, scholars, and readers to discover and access articles from various journals within a specific field or discipline.

The Editor-in-chief of the Journal is Professor Daoliang Li, PhD China Agricultural University College of Information and Electrical Engineering, Beijing, China

Call for paper : The Journal invites original research contributions for consideration of publication in Information Processing in Agriculture journal.

Journal seeking submissions in the broad areas of Computer Science that align with journal's focus on Computer Science.

for details about call for paper please visit to the official website of the journal to check the details about call for papers.

Publishing in Information Processing in Agriculture involves the following steps:

• Research: Conduct high-quality, impactful research in the field of Computer Science.
• Familiarize Yourself: Read and understand the aims and scope of Information Processing in Agriculture to ensure your work aligns with their focus.
• Manuscript Preparation: Prepare your manuscript according to the Information Processing in Agriculture guidelines, including formatting, length, and referencing style.
• Submission: Submit your manuscript through the journal's online submission system.

• Journal Website
• Scopus
• SCImago