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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/60076658:12520/22:43904520

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20204 - Robotics and automatic control

Projekt

<a href="/cs/project/QK1920102" target="_blank" >QK1920102: Automatizace a objektivizace monitoringu rybožravých predátorů</a><br>

Návaznosti

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

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Ecological Informatics

ISSN

1574-9541

e-ISSN

1878-0512

Svazek periodika

70

Číslo periodika v rámci svazku

neuvedeno

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

9

Strana od-do

nestrankovano

Kód UT WoS článku

000818529400002

EID výsledku v databázi Scopus

2-s2.0-85132742969