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computers and electronics in agriculture

ISSN 0168-1699· EN

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28.6 / 100
Journament Score
Poor
Ranked #23,060 of 29,298 scored journals (34,012 indexed)
17 Articles
Scores higher than 21.2% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Short Name computers and electronics in agriculture
ISSN 0168-1699
URL https://www.journals.elsevier.com/computers-and-electronics-in-agriculture

Quality Profile

7 of 12 dimensions measured
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

5 of the 12 dimensions could not be measured for this journal. They are left as gaps in the shape rather than plotted as zero.

Show the numbers
Dimension This journal Corpus average
Engagement 30.3 30.4
Accessibility 20.0 22.5
Timeliness 0.0 3.0
Diversity 44.4 22.7
Innovation 25.5 24.1
Community Impact 2.1 4.2
Content Distribution 65.2 88.7
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (17)

2019
A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses
Abdulridha J.
Vol. 156 , pp. 549-557
429 views DOI
2018
Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado
Abdulridha J.
Vol. 155 , pp. 203-211
397 views DOI
2019
An Arduino-based low cost device for the measurement of the respiration rates of fruits and vegetables
González-Buesa, J.
Vol. 162 , pp. 14-20
369 views DOI
2017
factor affecting innovativeness of small and medium enterprises in the five southern border provinces
;Kritsadee Phuangrod;Sanguan Lerkiatbundit;Somnuk Aujiraponpan
Vol. 38 , No. 3 , pp. 204-211
307 views DOI Abstract
2016
effect of sports participation on internet addiction mediated by self-control: a case of korean adolescents
;Jae-Ahm Park;Mi-Hyang Park;Ji-Hye Shin;Bo Li;David Thomas Rolfe;Jong-Yeol Yoo;Stephen W. Dittmore
Vol. 37 , No. 3 , pp. 164-169
288 views DOI Abstract
2019
An analysis of energy efficiency in Wireless Sensor Networks (WSNs) applied in smart agriculture
Banđur, Đ.
Vol. 156 , pp. 500-507
282 views DOI
2020
ALOS-2 and Sentinel-1 SAR data sensitivity analysis to surface soil moisture over bare and vegetated agricultural fields
AliIhsan Sekertekin,Aycan Murat Marangoz,Saygin Abdikan;AliIhsan Sekertekin;Aycan Murat Marangoz;Saygin Abdikan;
Vol. 171 , pp. 105303-
281 views DOI
2019
Improved premixing in-line injection system for variable-rate orchard sprayers with Arduino platform
Zhang, Z.
Vol. 162 , pp. 389-396
267 views DOI
2018
Big GIS analytics framework for agriculture supply chains: A literature review identifying the current trends and future perspectives
Sharma, R.
Vol. 155 , pp. 103-120
260 views DOI
2019
An ANSYS/LS-DYNA simulation and experimental study of circular saw blade cutting system of mulberry cutting machine
Meng, Y.
Vol. 157 , pp. 38-48
237 views DOI
2021
Using field hyperspectral data to predict cotton yield reduction after hail damage
Wang, L.
Vol. 190 , pp. 0-0
44 views DOI
2020
ALOS-2 and Sentinel-1 SAR data sensitivity analysis to surface soil moisture over bare and vegetated agricultural fields
AliIhsan Sekertekin,Aycan Murat Marangoz,Saygin Abdikan;AliIhsan Sekertekin;Aycan Murat Marangoz;Saygin Abdikan;
Vol. 171 , pp. 105303-
281 views DOI
2019
An ANSYS/LS-DYNA simulation and experimental study of circular saw blade cutting system of mulberry cutting machine
Meng, Y.
Vol. 157 , pp. 38-48
237 views DOI
2019
An analysis of energy efficiency in Wireless Sensor Networks (WSNs) applied in smart agriculture
Banđur, Đ.
Vol. 156 , pp. 500-507
282 views DOI
2019
An Arduino-based low cost device for the measurement of the respiration rates of fruits and vegetables
González-Buesa, J.
Vol. 162 , pp. 14-20
369 views DOI
2019
Improved premixing in-line injection system for variable-rate orchard sprayers with Arduino platform
Zhang, Z.
Vol. 162 , pp. 389-396
267 views DOI
2019
A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses
Abdulridha J.
Vol. 156 , pp. 549-557
429 views DOI
2018
a review of theoretical perspectives on language learning and acquisition
;Norbahira Mohamad Nor;Radzuwan Ab Rashid
Vol. 39 , No. 1 , pp. 161-167
133 views Abstract
2018
regulatory impact assessment and its challenges: an empirical analysis from indonesia
;Teguh Kurniawan;Muh Azis Muslim;Eko Sakapurnama
Vol. 39 , No. 1 , pp. 105-108
157 views Abstract
2018
Big GIS analytics framework for agriculture supply chains: A literature review identifying the current trends and future perspectives
Sharma, R.
Vol. 155 , pp. 103-120
260 views DOI
Journament Score
28.6/100 · Poor
Ranked #23,060 of 29,298 scored
(34,012 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

28.6/100

Tier: Poor

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.3/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

20.0/100

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

44.4/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

25.5/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

2.1/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

0.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

65.2/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.