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Computers And Electronics In Agriculture

Computers And Electronics In AgricultureSCIE

国际简称:COMPUT ELECTRON AGR  参考译名:农业中的计算机和电子产品

  • 中科院分区

    1区

  • CiteScore分区

    Q1

  • JCR分区

    Q1

基本信息:
ISSN:0168-1699
E-ISSN:1872-7107
是否OA:未开放
是否预警:否
TOP期刊:是
出版信息:
出版地区:ENGLAND
出版商:Elsevier
出版语言:English
出版周期:Monthly
出版年份:1985
研究方向:工程技术-计算机:跨学科应用
评价信息:
影响因子:7.7
H-index:96
CiteScore指数:15.3
SJR指数:1.735
SNIP指数:2.344
发文数据:
Gold OA文章占比:16.52%
研究类文章占比:96.36%
年发文量:852
自引率:0.1445...
开源占比:0.092
出版撤稿占比:0.0015...
出版国人文章占比:0.23
OA被引用占比:0.0732...
英文简介 期刊介绍 CiteScore数据 中科院SCI分区 JCR分区 发文数据 常见问题

英文简介Computers And Electronics In Agriculture期刊介绍

Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software, electronic instrumentation, and control systems for solving problems in agriculture, including agronomy, horticulture (in both its food and amenity aspects), forestry, aquaculture, and animal/livestock farming.

The journal publishes original papers, reviews, and applications notes on topics pertaining to advances in the use of computers or electronics in plant or animal agricultural production, including agricultural soils, water, pests, controlled environments, structures, and wastes, as well as the plants and animals themselves. Post-harvest operations considered part of agriculture (such as drying, storage, logistics, production assessment, trimming and separation of plant and animal material) are also covered. Relevant areas of technology include artificial intelligence, sensors, machine vision, robotics, networking, and simulation modelling.

期刊简介Computers And Electronics In Agriculture期刊介绍

《Computers And Electronics In Agriculture》自1985出版以来,是一本农林科学优秀杂志。致力于发表原创科学研究结果,并为农林科学各个领域的原创研究提供一个展示平台,以促进农林科学领域的的进步。该刊鼓励先进的、清晰的阐述,从广泛的视角提供当前感兴趣的研究主题的新见解,或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道农林科学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单,目前已被权威数据库SCIE收录,得到了广泛的认可。

该期刊投稿重要关注点:

Cite Score数据(2024年最新版)Computers And Electronics In Agriculture Cite Score数据

  • CiteScore:15.3
  • SJR:1.735
  • SNIP:2.344
学科类别 分区 排名 百分位
大类:Agricultural and Biological Sciences 小类:Horticulture Q1 1 / 115

99%

大类:Agricultural and Biological Sciences 小类:Agronomy and Crop Science Q1 5 / 406

98%

大类:Agricultural and Biological Sciences 小类:Forestry Q1 4 / 174

97%

大类:Agricultural and Biological Sciences 小类:Computer Science Applications Q1 38 / 817

95%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Computers And Electronics In Agriculture 中科院分区

中科院 2023年12月升级版 综述期刊:否 Top期刊:是
大类学科 分区 小类学科 分区
农林科学 1区 AGRICULTURE, MULTIDISCIPLINARY 农业综合 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用 1区 2区

中科院分区表 是以客观数据为基础,运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据,得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次,类似于“优、良、及格”等。最开始,这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Computers And Electronics In Agriculture JCR分区

2023-2024 年最新版
按JIF指标学科分区 收录子集 分区 排名 百分位
学科:AGRICULTURE, MULTIDISCIPLINARY SCIE Q1 2 / 89

98.3%

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS SCIE Q1 12 / 169

93.2%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:AGRICULTURE, MULTIDISCIPLINARY SCIE Q1 1 / 89

99.44%

学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS SCIE Q1 11 / 169

93.79%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计
  • 国家/地区数量
  • CHINA MAINLAND505
  • USA296
  • Spain116
  • Brazil115
  • Australia104
  • Iran71
  • GERMANY (FED REP GER)69
  • India60
  • France51
  • Canada50

本刊中国学者近年发表论文

  • 1、Real-time fruit detection using deep neural networks on CPU (RTFD): An edge AI application

    Author: Mao, DianHui; Sun, Hao; Li, XueBo; Yu, XuDong; Wu, JianWei; Zhang, QingChuan

    Journal: COMPUTERS AND ELECTRONICS IN AGRICULTURE. 2023; Vol. 204, Issue , pp. -. DOI: 10.1016/j.compag.2022.107517

  • 2、A detection approach for late-autumn shoots of litchi based on unmanned aerial vehicle (UAV) remote sensing

    Author: Liang, Juntao; Chen, Xin; Liang, Changjiang; Long, Teng; Tang, Xinyu; Shi, Zhenmiao; Zhou, Ming; Zhao, Jing; Lan, Yubin; Long, Yongbing

    Journal: COMPUTERS AND ELECTRONICS IN AGRICULTURE. 2023; Vol. 204, Issue , pp. -. DOI: 10.1016/j.compag.2022.107535

  • 3、Real-time detection of underwater river crab based on multi-scale pyramid fusion image enhancement and MobileCenterNet model

    Author: Ji, Wei; Peng, Jiaqi; Xu, Bo; Zhang, Tong

    Journal: COMPUTERS AND ELECTRONICS IN AGRICULTURE. 2023; Vol. 204, Issue , pp. -. DOI: 10.1016/j.compag.2022.107522

  • 4、Efficiency analysis and evaluation of centrifugal variable-rate fertilizer spreading based on real-time spectral information on rice

    Author: Yinyan, Shi; Man, Chen; Wang, Xiaochan; Haolin, Yang; Haiming, Yu; Xiangze, Hao

    Journal: COMPUTERS AND ELECTRONICS IN AGRICULTURE. 2023; Vol. 204, Issue , pp. -. DOI: 10.1016/j.compag.2022.107505

  • 5、A fast and lightweight detection algorithm for passion fruit pests based on improved YOLOv5

    Author: Li, Kangshun; Wang, Jiancong; Jalil, Hassan; Wang, Hui

    Journal: COMPUTERS AND ELECTRONICS IN AGRICULTURE. 2023; Vol. 204, Issue , pp. -. DOI: 10.1016/j.compag.2022.107534

  • 6、A flexible swallowing gripper for harvesting apples and its grasping force sensing model

    Author: Zhang, Zhen; Zhou, Jun; Yi, Boyang; Zhang, Baohua; Wang, Kai

    Journal: COMPUTERS AND ELECTRONICS IN AGRICULTURE. 2023; Vol. 204, Issue , pp. -. DOI: 10.1016/j.compag.2022.107489

  • 7、Calibration of DEM models for fertilizer particles based on numerical simulations and granular experiments

    Author: Song, Xuefeng; Dai, Fei; Zhang, Fengwei; Wang, Dengming; Liu, Yuchen

    Journal: COMPUTERS AND ELECTRONICS IN AGRICULTURE. 2023; Vol. 204, Issue , pp. -. DOI: 10.1016/j.compag.2022.107507

  • 8、A novel approach for apple leaf disease image segmentation in complex scenes based on two-stage DeepLabv3+with adaptive loss

    Author: Zhu, Shisong; Ma, Wanli; Lu, Jiangwen; Ren, Bo; Wang, Chunyang; Wang, Jianlong

    Journal: COMPUTERS AND ELECTRONICS IN AGRICULTURE. 2023; Vol. 204, Issue , pp. -. DOI: 10.1016/j.compag.2022.107539

投稿常见问题

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