Project
Title
KI-basierte Modellierung der Bezüge zwischen Bodenfluoreszenz und umweltschutzre-levanten Bodenparametern sowie Nachhaltigkeitsbewertung
Acronym
quantiFARM
Start
01.11.2024
End
30.10.2027
Coordinating Institute
KWS SAAT SE & Co. KGaA
Contact
Partner
Fraunhofer-Institut für Schicht- und Oberflächentechnik IST
KWS SAAT SE & Co. KGaA
asphericon GmbH
Fraunhofer Heinrich Hertz Institut
JB Hyperspectral Devices GmbH
MIOPAS GmbH
Project team ATB
Allocated to research program
Summary
The quantiFARM project aims to develop cost-effective and mobile sensor systems to reduce environmentally harmful emissions in agriculture. By recording plant vitality and soil parameters, fertilisers and pesticides are to be used according to need, which should significantly reduce the environmental impact. Artificial intelligence is used to analyse fluorescence signals in order to assess the condition of the plants and make recommendations for agricultural management. One focus is on calibrating soil sensors in order to precisely determine important soil parameters. In addition, the sustainability of the system will be comprehensively evaluated in order to measure its contribution to climate and environmental protection.
Funding
Bundesministerium für Bildung und Forschung (BMBF)
Funding agency
VDI/VDE Innovation + Technik GmbH
Grant agreement number
13N17094
Funding framework
Bekanntmachung Quantentechnologische und photonische Systemlösungen für Herausforderun-gen des Umwelt- und Klimaschutzes, der Biodiversität, der nachhaltigen Energie-systeme und der Ressourcenschonung