Individualized Livestock Production

Photo: ATB

Project

Title
Entwicklung eines digitalen Monitoringsystems für Quarantänekrankheiten in Obstanlagen
Acronym
MONIQUA
Start
01.03.2021
End
31.05.2024
Coordinating Institute
Leibniz-Institut für Agrartechnik und Bioökonomie e.V. (ATB)
Partner
Julius Kühn-Institut (seit 01.01.08), Bundesforschungsinstitut für Kulturpflanzen
GEO-Konzept GmbH

Project team ATB
Allocated to research program
Summary
The aim of the MONIQUA project is to establish a digital monitoring system for the early detection and localisation of quarantine diseases in commercial fruit growing. On the basis of image recordings and machine learning image processing methods, specific disease symptoms are recorded and mapped in large numbers, at different stages of development and with high spatial resolution in apple and pear stands. The initial focus is on the detection of leaf symptoms. Data on the course of the disease symptoms will be compared with geo-information from the meteorological services. The long-term goal is to establish a labour-saving and cost-effective high-throughput procedure as a control system for fruit production and breeding that enables continuous spatial recording and documentation of infections by quarantine pests.

Funding
Bundesministerium für Ernährung und Landwirtschaft (BMEL) / Bundesanstalt für Landwirtschaft und Ernährung (BLE)
Funding agency
Bundesanstalt für Landwirtschaft und Ernährung - Projektträger
Grant agreement number
2818712B19
Funding framework
Programm zur Innovationsförderung - Bekanntmachung über die Förderung von Innovationen zur Vermeidung der Ein- und Verschleppung von geregelten und neuen Schadorganismen an Pflanzen - Pflanzengesundheit

Cookies

We use cookies. Some are required to offer you the best possible content and functions while others help us to anonymously analyze access to our website. (Matomo) Privacy policy

Required required

Necessary cookies are absolutely essential for the proper functioning of the website. This category only includes cookies that ensure basic functionalities and security features of the website. These cookies do not store any personal information.

Cookie Duration Description
PHPSESSID Session Stores your current session with reference to PHP applications, ensuring that all features of the site can be displayed properly. The cookie is deleted when the browser is closed.
bakery 24 hours Stores your cookie preferences.
fe_typo_user Session Is used to identify a session ID when logging into the TYPO3 frontend.
__Secure-typo3nonce_xxx Session Security-related. For internal use by TYPO3.
Analytics

With cookies in this category, we learn from visitors' behavior on our website and can make relevant information even more accessible.

Cookie Duration Description
_pk_id.xxx 13 months Matomo - User ID (for anonymous statistical analysis of visitor traffic; determines which user is being tracked)
_pk_ses.xxx 30 minutes Matomo - Session ID (for anonymous statistical analysis of visitor traffic; determines which session is being tracked)