Project
Title
Wissensbasierte Standortanalyse für ein umweltgerechtes Unkrautmanagement im integrierten Pflanzenbau
Acronym
BETTER-WEEDS
Start
20.04.2021
End
19.04.2024
Coordinating Institute
Julius Kühn-Institut (seit 01.01.08), Institut für Pflanzenschutz in Ackerbau und Grünland
Coordinator
Christian Kämpfer
Contact
Partner
Technische Universität Ilmenau
MPI Biogeochemie
Spleenlab GmbH
Project team ATB
Allocated to research program
Summary
Currently, weed control in conventional arable farming systems is predominantly carried out by adapted herbicide strategies. Against the background of negative effects of plant protection products on the environment and an increasing loss of weed diversity on many cultivated areas, new, above all environmentally friendly approaches to weed control must be developed. The greatest challenge for practical agriculture lies in the balance between the need for economic farm management and the associated intensive weed control on the one hand, and the increasing social and political demands for ecologically sound management of arable land on the other. In order to be able to combine these two requirements in a practice-relevant way, a) cost-effective and time-efficient tools for recording different weed species and densities must be available, b) area-specific information on weed occurrence must be generated, and c) concrete management plans for farmers must be derived from distribution maps.
The aim of this project is the autonomous recording, AI-based identification and evaluation of weed species occurring on agricultural land and the subsequent creation of georeferenced distribution maps, which also take into account site-specific characteristics of the areas. Based on these area maps, individual, site-specific management plans for weed management are derived and experimentally validated. The main focus is on promoting increased weed diversity while controlling highly competitive weed species.
Funding
Bundesministerium für Ernährung und Landwirtschaft (BMEL)
Funding agency
Bundesanstalt für Landwirtschaft und Ernährung - Projektträger
Grant agreement number
28DK123B20
Funding framework
Programm zur Innovationsförderung - Bekanntmachung über die Förderung von KI