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Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress

Overview of attention for article published in Plant Methods, October 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 1,054)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
2 news outlets
twitter
13 tweeters
patent
2 patents

Citations

dimensions_citation
261 Dimensions

Readers on

mendeley
599 Mendeley
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Title
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
Published in
Plant Methods, October 2017
DOI 10.1186/s13007-017-0233-z
Pubmed ID
Authors

Amy Lowe, Nicola Harrison, Andrew P French

Abstract

This review explores how imaging techniques are being developed with a focus on deployment for crop monitoring methods. Imaging applications are discussed in relation to both field and glasshouse-based plants, and techniques are sectioned into 'healthy and diseased plant classification' with an emphasis on classification accuracy, early detection of stress, and disease severity. A central focus of the review is the use of hyperspectral imaging and how this is being utilised to find additional information about plant health, and the ability to predict onset of disease. A summary of techniques used to detect biotic and abiotic stress in plants is presented, including the level of accuracy associated with each method.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 599 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 599 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 121 20%
Student > Master 97 16%
Researcher 89 15%
Student > Bachelor 50 8%
Student > Doctoral Student 26 4%
Other 80 13%
Unknown 136 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 169 28%
Engineering 81 14%
Computer Science 69 12%
Environmental Science 31 5%
Earth and Planetary Sciences 19 3%
Other 55 9%
Unknown 175 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 05 October 2022.
All research outputs
#958,998
of 22,400,534 outputs
Outputs from Plant Methods
#30
of 1,054 outputs
Outputs of similar age
#20,693
of 300,787 outputs
Outputs of similar age from Plant Methods
#1
of 8 outputs
Altmetric has tracked 22,400,534 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,054 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 97% of its peers.
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 300,787 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them