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Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)

2018 master's thesis by Ricardo de Sa Rocha Mello at University of Otago
Place master_s_thesis Q112936160
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Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)

Summary

Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus) is a master's thesis[1].

Key Facts

  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus) authored Ricardo de Sa Rocha Mello[2].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s instance of is recorded as master's thesis[3].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s publisher is recorded as OUR Archive[4].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s language of work or name is recorded as English[5].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s country of origin is recorded as New Zealand[6].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s publication date is recorded as +2018-00-00T00:00:00Z[7].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s main subject is recorded as software[8].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s Handle ID is recorded as 10523/7807[9].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s title is recorded as Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)[10].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s copyright holder is recorded as Ricardo de Sa Rocha Mello[11].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s thesis submitted to is recorded as University of Otago[12].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s on focus list of Wikimedia project is recorded as NZThesisProject[13].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s copyright status is recorded as copyrighted[14].
  • Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s thesis committee member is recorded as Alison Cree[15].

Body

Designation and Status

Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)'s instance of is recorded as master's thesis[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus). Retrieved May 3, 2026, from https://4ort.xyz/entity/feasibility-of-using-pattern-recognition-software-for-photographic-identification-of-tuatara-sphenodon-punctatus-
MLA “Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus).” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/feasibility-of-using-pattern-recognition-software-for-photographic-identification-of-tuatara-sphenodon-punctatus-.
BibTeX @misc{4ortxyz_feasibility-of-using-pattern-recognition-software-for-photographic-identification-of-tuatara-sphenodon-punctatus-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feasibility of using pattern-recognition software for photographic identification of tuatara (Sphenodon punctatus)}}, year = {2026}, url = {https://4ort.xyz/entity/feasibility-of-using-pattern-recognition-software-for-photographic-identification-of-tuatara-sphenodon-punctatus-}, note = {Accessed: 2026-05-03}}
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