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An Evaluation of the Factors Affecting ‘Poacher’ Detection with Drones and the Efficacy of Machine-L...

An Evaluation of the Factors Affecting ‘Poacher’ Detection with Drones and the Efficacy of Machine-L...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7bb9298d6a35418f82bec4d1f2067a0e

An Evaluation of the Factors Affecting ‘Poacher’ Detection with Drones and the Efficacy of Machine-Learning for Detection

About this item

Full title

An Evaluation of the Factors Affecting ‘Poacher’ Detection with Drones and the Efficacy of Machine-Learning for Detection

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2021-06, Vol.21 (12), p.4074

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Drones are being increasingly used in conservation to tackle the illegal poaching of animals. An important aspect of using drones for this purpose is establishing the technological and the environmental factors that increase the chances of success when detecting poachers. Recent studies focused on investigating these factors, and this research buil...

Alternative Titles

Full title

An Evaluation of the Factors Affecting ‘Poacher’ Detection with Drones and the Efficacy of Machine-Learning for Detection

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7bb9298d6a35418f82bec4d1f2067a0e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7bb9298d6a35418f82bec4d1f2067a0e

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s21124074

How to access this item