Material and energetic use of biomass

Foto: ATB

Project

Title
Sensorgestützte, mechanische und adaptive Blüten-Ausdünnung in der Apfelproduktion - Smaart
Acronym
SmaArt
Start
15.01.2015
End
31.05.2017
Coordinating Institute
Leibniz-Institut für Agrartechnik und Bioökonomie e.V. (ATB)
Partner
Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Fruit - Tec
CiS-GmbH
CLK GmbH
Stiftung Kompetenzzentrum Obstbau - Bodensee

Summary
The aim of the project "SmaArt" is to develop a real-time capable, economically optimized demonstrator for adaptive flower thinning in fruit trees. The project is based on the results of the 2012 terminated R & D project "Sensor-based method for detection of geometrical and physiological characteristics and their modeling for an adaptive management of perennial phytosystems - Opti Thin", which had developed a conceptual solution for a sensor-based, individual-tree-specific flower thinning on fruit trees. SmaArt focusses on the development of an innovative technology for the fruit production practice. A system for a tree specific flower thinning is currently not available. The aim is to realize an adaptive mechanical thinning of the flower garnish on fruit trees by means of innovative technical solutions, including a vehicle-mounted sensor system for counting flowers, a customized data management system, and specific thinning algorithms. The system will continue to optimize the horticultural production process. It is environmentally friendly and sustainable, as it works purely mechanically without any hazardous chemicals. The increased level of automation of the process contributes to improvement of working conditions.

Funding
Bundesministerium für Ernährung und Landwirtschaft (BMEL)
Funding agency
Bundesanstalt für Landwirtschaft und Ernährung - Projektträger
Grant agreement number
Z20128-1
Funding framework
Deutsche Innovationspartnerschaft Agrar (DIP)

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)