Detect plant diseases early.
Safeguard yields effectively.

Increasing demands, unpredictable weather, and growing economic pressure: In today’s agricultural sector, you need to make more precise decisions than ever before. When it comes to crop protection, it is particularly important to detect infestations early, assess risks accurately, and apply measures only when they are truly necessary.

This is exactly where we support you with modern analytics, sound assessments, and digital forecasting models that help you detect plant diseases earlier and tailor the use of plant protection products to actual needs.

Many fungal pathogens remain undetected for a long time in the early stages of infestation. Visible symptoms often do not appear until the pathogen has already spread and initial damage has occurred in the crop.

For your operation, this means: less time to react, greater uncertainty, and, in the worst-case scenario, avoidable yield losses. Reliable early detection lays the foundation for better decisions. Instead of reacting too late or applying too much as a preventive measure, you can plan interventions more precisely and better tailor them to the actual situation in the field.

Our support:

Analysis, evaluation, and forecasting

We support you with an approach that combines analysis, data evaluation, and recommendations for action. This transforms individual measurement values into a reliable picture that serves as a sound basis for making decisions regarding plant health and the use of pesticides in your day-to-day operations.

This includes:

  • Methods for targeted sampling and sample preparation
  • Sensitive detection methods for plant pests
  • Mobile or field-based analysis for faster results
  • Digital evaluation and integration with other relevant data
  • Forecasts and recommendations for better assessment of infestation risks
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Infographic: MagnI-SENSE rapid on-site analysis compared with time-consuming conventional laboratory diagnostics

Methodology

From Field to Diagnosis

MagnI-SEP

Sample Preparation

Standardized sample collection and targeted enrichment of relevant pathogens.

MagnI-TECT

On-site detection

Rapid qualitative and quantitative assessment of contamination levels directly in the field.

MagnI-LAMP

Pathogen-specific detection

Highly sensitive mobile detection of gene sequences from multiple pathogen groups

MagnI-APP

Intelligent data analysis

Linking analytical data with external factors to generate forecasts and recommendations for action.

Project fact sheet

Project title

MagnI-SENSE: Magnetic immuno-sensing and a cloud-based expert system for the sustainable assurance of agricultural yields

Duration

01/2025 - 12/2027

Funding

Project call „GreenEconomy.In.NRW“ funded by state resources and the European Regional Development Fund (ERDF)

Project budget

approx. 1.16 million Euro

Collaboration partners
  • Fraunhofer Institute for Molecular Biology and Applied Ecology IME
  • Research Center Jülich GmbH
  • GeneCon International GmbH
  • amagrar GmbH
  • Chamber of Agriculture North Rhine-Westphalia
Project leader

Dr. Florian Schröper

Aims
  • Establishment of an innovative analysis and monitoring system for farmers for the on-site detection of yield-relevant plant diseases
  • Demand-driven use of plant protection products (PPPs)

MagnI-SENSE is part of the „GreenEconomy.In.NRW“ project call and is funded by state resources from the MWIKE as well as by the European Regional Development Fund (ERDF).

Co-financed by the European Union and the State of North Rhine-Westphalia

Contact us!

Gain faster decisions and more control over your raw materials and products. If you are interested or have any questions, please get in touch.

Michelle Wesselbaum

Authorized Signatory, Scientific Director M.Sc. in Molecular and Applied Biotechnology, RWTH Aachen

Patrick Dahm

Scientific Assistant M.Sc. in Applied Chemistry, TH Nürnberg Georg Simon Ohm

Dr. Georg Pitschelatow

Scientific Assistant Ph.D. in Biology, RWTH Aachen