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improve: consistency – i.e. revise section: 'see also' from MOS:SEEALSO by logically ordering few relevant ‘internal links’ not appearing elsewhere, so that readers can find highly connected entries in which this entry transcludes, GIS software implementing SNNs, scientific branches/subbranches using SNNs; ii.wholesomeness – i.e. User:GeogSage exceptions to the WP:SEEALSO are only relevant for broad topics/subtopics, e.g. geography/quantitative geography, GIS/internet GIS |
improve: meaningfulness – i.e. specify the parameters of the {{expand section}} template, so to suggest how expanding the thematic section on: 'applications', so to remain within the entry/article's scope |
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==Applications==
{{Expand section |date=March 2023 |small="yes" |for=any thematic section within a methodological entry should remain a list, so that readers can quickly find examples of applications in their thematic fields/subfields; illustrative syntheses of case studies should appear within a separate/new Wikipedia’s entry (e.g. on 'applications of spatial models')}}
There exist [[case-study]] applications of SNNs in:
*agriculture for classifying the [[vegetation]];<ref name="Podlipnov et al. (2023)">{{cite conference |vauthors=Podlipnov V, Firsov N, Ivliev N, Mashkov S, Ishkin P, Skidanov R, Nikonorov A |date=2023 |title=Spectral-spatial neural network classification of hyperspectral vegetation images |book-title= IOP conference series: earth and environmental science |volume=1138 |doi=10.1088/1755-1315/1138/1/012040}}</ref>
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