COMPUTERS AND ELECTRONICS IN AGRICULTURE - Journal - Bridge of Knowledge

Search

COMPUTERS AND ELECTRONICS IN AGRICULTURE

ISSN:

0168-1699

eISSN:

1872-7107

Disciplines
(Field of Science):

  • automation, electronics, electrical engineering and space technologies (Engineering and Technology)
  • information and communication technology (Engineering and Technology)
  • mechanical engineering (Engineering and Technology)
  • environmental engineering, mining and energy (Engineering and Technology)
  • agriculture and horticulture (Agricultural sciences)
  • food and nutrition technology (Agricultural sciences)
  • animal science and fisheries (Agricultural sciences)
  • biotechnology (Natural sciences)
  • computer and information sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2024 100 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 100 Ministry scored journals list 2024
2023 100 Ministry Scored Journals List
2022 100 Ministry Scored Journals List 2019-2022
2021 100 Ministry Scored Journals List 2019-2022
2020 100 Ministry Scored Journals List 2019-2022
2019 100 Ministry Scored Journals List 2019-2022
2018 40 A
2017 40 A
2016 35 A
2015 35 A
2014 40 A
2013 35 A
2012 35 A
2011 35 A
2010 32 A

Model:

Hybrid

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2023 15.3
Points CiteScore - previous years
Year Points
2023 15.3
2022 13.6
2021 11.8
2020 8.6
2019 6.7
2018 5.5
2017 4.6
2016 4.3
2015 4.1
2014 4.3
2013 4.5
2012 4.3
2011 4.5

Impact Factor:

Log in to see the Impact Factor.

Filters

total: 6

  • Category
  • Year
  • Options

clear Chosen catalog filters disabled

Catalog Journals

Year 2022
Year 2021
  • Buzz-based honeybee colony fingerprint

    Non-intrusive remote monitoring has its applications in a variety of areas. For industrial surveillance case, devices are capable of detecting anomalies that may threaten machine operation. Similarly, agricultural monitoring devices are used to supervise livestock or provide higher yields. Modern IoT devices are often coupled with Machine Learning models, which provide valuable insights into device operation. However, the data...

    Full text available to download

Year 2020
Year 2017
Year 2014

seen 1393 times