农业部
中国农业大学
2214-3173
10-1751/S
季刊
个月
------/有基金-100.0%--https://www.editorialmanager.com/ipa/
《农业信息处理(英文)(Information Processing in Agriculture)》期刊已被查看: 次
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杂志社官网:https://www.sciencedirect.com/science/journal/22143173
联系电话:010-62737679
投稿邮箱:ipa@cau.edu.cn(官网邮箱)dliangl@cau.edu.cn(主编微信公众号信息)
主管单位:农业部
主办单位:中国农业大学
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1、投稿方式:在线投稿。
2、官网网址:
https://www.sciencedirect.com/science/journal/22143173
3、投稿系统:https://www.editorialmanager.com/ipa/
4、主办单位官网:
http://kyy.cau.edu.cn/col/col23614/index.html
(中国农业大学)
5、出刊日期:季刊,逢季末月出版。
2023年8月28星期一
《农业信息处理(英文)》获得国内统一连续出版物刊号
【微信公众号“中国农业大学”信息】
2021年3月9日
由我校主办、信电学院李道亮教授主编的国际学术期刊Information Processing in Agriculture (IPA,eISSN: 2214-3173)通过了国家新闻出版署批复,获得国内统一连续出版物刊号:CN10-1751/S,中文名称为:农业信息处理(英文)。
IPA目前已经被EI Compendex/GEOBASE, SCOPUS, AGRIS, Inspec, Google Scholar等数据库检索。据Scopus数据库,2019年Citescore为6.2,最新(2021年2月)为9.6,所属五个主题(Animal Science and Zoology, Aquatic Science,Agronomy and Crop Science, Forestry,Computer Science Applications)均进入Q1。于2019年入选由中国科协、财政部、教育部、科学技术部、国家新闻出版署、中国科学院、中国工程院联合实施的《中国科技期刊卓越行动计划》之高起点新刊项目,2020年入选中国农业科学院农业信息研究所、中国农学会农业会农业科技期刊分会、中国农学会图书情报分会发布的中国农林核心期刊(A类)目录。
IPA是中国农业大学依托国际化多媒体出版集团Elsevier B.V.于2014年创办的国际性学术期刊,为国内首个农业信息处理领域的英文期刊。农业信息处理是一种国际开放获取期刊,主要刊载最新信息技术在农业中的应用,主要包括农业学,林业,水产养殖,动物/畜牧科学,植物科学,环境和食品加工,食品安全和质量跟踪,以及很快。在上述领域中使用的信息技术如下但不限于:智能传感器和无线传感器网络,遥感,仿真,优化,建模和自动控制,决策支持系统,智能系统和人工智能,计算机视觉和食品质量,精确农业,农业物联网,云计算和农业应用的图像处理,检查和可追溯性。
经过七年多的发展,目前IPA共有编委64位,主要来自美国、澳大利亚、中国、希腊、丹麦、德国等国家,国际化率91%;目前共出版9期,国际化率95%以上。文章主要来自美国、澳大利亚、希腊、印度等20多个国家和地区。
《农业信息处理(英文)》作者指南
【官网信息】
Guide for Authors
Aims 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.
Topics of interest include, but are not limited to, the following aspects:
•
Smart sensors, biosensors and bioelectronics, material and molecular
innovations for chemical and biological sensing, sensors, and automation
and control systems for agriculture;
• Wireless sensor networks, 4G, NB-IOT, and 5G applications in agriculture;
• Remote sensing and discrete element modeling (DEM) applications in agriculture;
• Simulation, optimization, modeling, and automated control;
• Decision support systems, intelligent systems, and artificial intelligence;
• Machine vision, computer vision, image processing and automation, and imaging technologies for high-throughput phenotyping
• Advances in spectroscopy and hyperspectral properties of biological products;
• Advanced computational approaches for solving agricultural and biological engineering problems;
• Computational fluid dynamics (CFD) applications in agriculture;
• Inspection and traceability for food quality;
• Precision agriculture, intelligent instruments, robotics, and co-robotics for agriculture;
• Internet of things, cloud computing, and precision farming;
• Big data, data mining, and data analysis for agricultural applications;
• Unmanned aerial vehicles (UAVs) for sensing, imaging, and agricultural aquacultural applications.
Introduction
Information
Processing in Agriculture is an international open access journal for
the publication of advanced information technology for solving problems
in agriculture and related industries, which include agronomy, forestry,
aquaculture, animal/livestock science, plant science, environment and
food processing, food safety and quality tracking, and so on. The
information technologies, used in the aforementioned fields, are as
following but not limited to: Smart Sensor and Wireless Sensor Network,
Remote Sensing, Simulation, Optimization, Modeling and Automatic
Control, Decision Support Systems, Intelligent Systems and Artificial
Intelligence, Computer Vision and Image Processing, Inspection and
Traceability for Food Quality, Precision Agriculture, The Internet of
Things in Agriculture, Cloud Computing and Agricultural Applications.
Types of article
1. Original research papers
2. Review articles
3. Application notes
4. Book reviews
No page charges
Information
Processing in Agriculture follows an author-pays open access model and
your article will be freely available to all via the ScienceDirect
platform. This charge is necessary to offset publishing costs - from
managing article submission to typesetting, tagging and indexing of
articles, hosting articles on dedicated servers, supporting sales and
marketing costs to ensure global dissemination via ScienceDirect, and
permanently preserving the journal article. The fee excludes taxes.
Authors will not be charged any publication fee now.
Submission checklist
You
can use this list to carry out a final check of your submission before
you send it to the journal for review. Please check the relevant section
in this Guide for Authors for more details.
Ensure that the following items are present:
One author has been designated as the corresponding author with contact details:
• E-mail address
• Full postal address
All necessary files have been uploaded:
Manuscript:
• Include keywords
• All figures (include relevant captions)
• All tables (including titles, description, footnotes)
• Ensure all figure and table citations in the text match the files provided
• Indicate clearly if color should be used for any figures in print
Graphical Abstracts / Highlights files (where applicable)
Supplemental files (where applicable)
Further considerations
• Manuscript has been 'spell checked' and 'grammar checked'
• All references mentioned in the Reference List are cited in the text, and vice versa
• Permission has been obtained for use of copyrighted material from other sources (including the Internet)
• A competing interests statement is provided, even if the authors have no competing interests to declare
• Journal policies detailed in this guide have been reviewed
• Referee suggestions and contact details provided, based on journal requirements
……
更多详情:
https://www.elsevier.com/journals/information-processing-in-agriculture/2214-3173/guide-for-authors
农业信息处理(英文)(Information Processing in Agriculture)杂志被以下数据库收录:
主办中国科学院遗传与发育生物学研究所;中国生态经济学学会级别:北核,CSCD,科核,武A+,高T2
影响因子:4.478
主办中国水土保持学会级别:北核,科核,CSCD扩,武A-,CACJ-权威
影响因子:2.352
主办中国土壤学会、中科院南京土壤研究所级别:CSCD,科核
影响因子:1.263
主办国际泥沙研究培训中心、中国水利水电出版社有限公司、中国水利水电科学研究院级别:CSCD,高T2
影响因子:0
主办华中农业大学级别:
影响因子:0
主办中国农业大学农学院联合中国农学会耕作制度分会以及美国、澳大利亚、英国等国家的相关研究单位级别:
影响因子:0
主办新疆农垦科学院级别:省级普刊
影响因子:0
主办河南工业大学级别:省级普刊
影响因子:1.65
杂志社官网:https://www.sciencedirect.com/science/journal/22143173
联系电话:010-62737679
投稿邮箱:ipa@cau.edu.cn(官网邮箱)dliangl@cau.edu.cn(主编微信公众号信息)
农业信息处理(英文)(Information Processing in Agriculture)是核心期刊,级别是:CSCD,EI(中国2024), 是:分类下的维普目次收录的期刊。
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