Galileo enhanced solution for pest detection and control in greenhouses with autonomous service robots
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F20%3A43919467" target="_blank" >RIV/62156489:43210/20:43919467 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.23919/ENC48637.2020.9317451" target="_blank" >http://dx.doi.org/10.23919/ENC48637.2020.9317451</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/ENC48637.2020.9317451" target="_blank" >10.23919/ENC48637.2020.9317451</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Galileo enhanced solution for pest detection and control in greenhouses with autonomous service robots
Popis výsledku v původním jazyce
European agriculture is facing numerous challenges such as population growth, climate change, resource shortages and increased competition, and hence the challenge today is to produce 'more with less'. Greenhouses protect crops from adverse weather conditions allowing year-round production and integrated crop management approaches provide better control over pests and diseases. However, without adequate controls the intensification of greenhouse crop production can create favourable conditions for devastating infestation. The Horizon 2020 (H2020) GreenPatrol project has developed an innovative and efficient robotic solution for Integrated Pest Management in crops, which has the ability to navigate inside greenhouses while performing early pest detection and control tasks in an autonomous way. The main developments include precise positioning to allow autonomous navigation and provide accurate and detailed pest maps in greenhouses (light indoor environments), perception with visual sensing for on-line pest detection, and strategies for manipulation and motion planning based on pest monitoring feedback. This paper presents an overview of the GreenPatrol system, including the localization and navigation functions and the pest detection abilities, and shows results of real-time demonstrations of the system in a representative environment.
Název v anglickém jazyce
Galileo enhanced solution for pest detection and control in greenhouses with autonomous service robots
Popis výsledku anglicky
European agriculture is facing numerous challenges such as population growth, climate change, resource shortages and increased competition, and hence the challenge today is to produce 'more with less'. Greenhouses protect crops from adverse weather conditions allowing year-round production and integrated crop management approaches provide better control over pests and diseases. However, without adequate controls the intensification of greenhouse crop production can create favourable conditions for devastating infestation. The Horizon 2020 (H2020) GreenPatrol project has developed an innovative and efficient robotic solution for Integrated Pest Management in crops, which has the ability to navigate inside greenhouses while performing early pest detection and control tasks in an autonomous way. The main developments include precise positioning to allow autonomous navigation and provide accurate and detailed pest maps in greenhouses (light indoor environments), perception with visual sensing for on-line pest detection, and strategies for manipulation and motion planning based on pest monitoring feedback. This paper presents an overview of the GreenPatrol system, including the localization and navigation functions and the pest detection abilities, and shows results of real-time demonstrations of the system in a representative environment.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)
Návaznosti výsledku
Projekt
—
Návaznosti
O - Projekt operacniho programu
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2020 European Navigation Conference (ENC)
ISBN
978-3-944976-27-3
ISSN
—
e-ISSN
—
Počet stran výsledku
10
Strana od-do
"Nestrankovano"
Název nakladatele
IEEE-Institute of Electrical Electronics Engineers
Místo vydání
Piscataway
Místo konání akce
Drážďany
Datum konání akce
23. 11. 2020
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000680859500061