Current status of NextMR-IAA progress
- Automatic, research grade MR camera system with Ultra HD camera module operational
- Automatic cost effective MR camera system for use in agronomy horticultural industry prototyped
- Wavebands beyond VIS for advanced root segmentation and soil moisture determination identified via hyperspectral imaging
- Convolutional neural network based, automatic total root length measurement in noisy rhizosphere images (with low error rate, reduced training input) achieved
Future applications
We are confident that we can demonstrate a range of highly interesting applications of the developed technology in a second phase of the NextMR-IAA ATTRACT project, e.g.
Science The next generation MR system will facilitate information on root system
development and turnover particular enhancing the scientific understanding of plant
functioning and ecosystem C dynamics by improving image quality ( and wave
bands beyond VIS spectra) and temporal resolution of MR camera systems
Agronomy The automated, cost efficient MR camera system in combination with
automated analysis of rooting depth and density will enable farmers to base irrigation
and fertilization on root system development, increasing resource use efficiencies and
allowing to reduce e g water infiltration nitrate leaching below the rooting zone In
addition, the technology has the potential to detect root diseases and parasites before
above ground signs become visible
Plant breeders Integrating the automated root system monitoring tool
into plant breeders toolbox will facilitate genotype selection for target environments
improving yield and yield stability
Turf grass industry / Urban forestry Monitoring turf root tree root
establishment and maintenance procedures (sport grounds roadside trees) will provide
evidence based answers to liability questions
Society Benefits for society are in particular better estimations of global ( C budgets
and more sustainable agricultural production systems (particular improving water and N,P
fertilizer use efficiencies, reducing groundwater pollution)