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Improved image processing-based crop detection using Kalman filtering and the Hungarian algorithm

Overview of attention for article published in Computers & Electronics in Agriculture, May 2018
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Mentioned by

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1 X user

Citations

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90 Dimensions

Readers on

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108 Mendeley
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Title
Improved image processing-based crop detection using Kalman filtering and the Hungarian algorithm
Published in
Computers & Electronics in Agriculture, May 2018
DOI 10.1016/j.compag.2018.02.027
Authors

Esmael Hamuda, Brian Mc Ginley, Martin Glavin, Edward Jones

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 12%
Student > Master 13 12%
Student > Ph. D. Student 11 10%
Student > Doctoral Student 10 9%
Student > Bachelor 10 9%
Other 18 17%
Unknown 33 31%
Readers by discipline Count As %
Engineering 32 30%
Computer Science 24 22%
Agricultural and Biological Sciences 5 5%
Mathematics 3 3%
Environmental Science 2 2%
Other 6 6%
Unknown 36 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 March 2018.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Computers & Electronics in Agriculture
#1,172
of 1,613 outputs
Outputs of similar age
#219,253
of 339,207 outputs
Outputs of similar age from Computers & Electronics in Agriculture
#12
of 13 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,613 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 339,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.