Prospects for the monitoring of the great cormorant (Phalacrocorax carbo sinensis) using a drone and stationary cameras

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12220%2F22%3A43904520" target="_blank" >RIV/60076658:12220/22:43904520 - isvavai.cz</a>

Alternative codes found

RIV/60076658:12520/22:43904520

Result on the web

<a href="https://doi.org/10.1016/j.ecoinf.2022.101726" target="_blank" >https://doi.org/10.1016/j.ecoinf.2022.101726</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ecoinf.2022.101726" target="_blank" >10.1016/j.ecoinf.2022.101726</a>

Result language

angličtina

Original language name

Prospects for the monitoring of the great cormorant (Phalacrocorax carbo sinensis) using a drone and stationary cameras

Original language description

Great cormorants (Phalacrocorax carbo sinensis) are piscivorous predators that cause high losses of fish in both aquaculture facilities and natural water bodies. Their monitoring (direct counting) in Central European carp (Cyprinus carpio) ponds is currently the only possible source of information for the evaluation of the extent of losses they cause to fish farmers. This method of monitoring is based on regular (optimally daily) counting by farmers, who are the applicants for compensation; however, this method can be easily biased by irregular observations and mistakes made in the counting of individual birds, particularly when cormorant flocks consist of tens or even hundreds of individuals. Such monitoring is not supported by any kind of record, except for the observer&apos;s notes on counting and can, therefore, be considered subjective to some extent. We introduce a new objective methodology for cormorant monitoring which eliminates the mistakes caused by the human factor, automatizes bird counting, and provides a record for the evaluation of the monitoring quality. The methodology is based on the use of drones equipped with a thermal camera and/or stationary 360 degrees cameras placed on the monitored pond. The system automatically detects the arrival of cormorants to the pond and counts the individuals in the drone images. The methodology can be adapted to many other bird species on the ponds or appropriate water bodies.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20204 - Robotics and automatic control

Project

<a href="/en/project/QK1920102" target="_blank" >QK1920102: Automation and objectivization of fish predators monitoring</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Ecological Informatics

ISSN

1574-9541

e-ISSN

1878-0512

Volume of the periodical

70

Issue of the periodical within the volume

neuvedeno

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

9

Pages from-to

nestrankovano

UT code for WoS article

000818529400002

EID of the result in the Scopus database

2-s2.0-85132742969