AI and Sensor Technology for Food and Farming

Customized AI solutions and smart sensors are opening up new possibilities for transparency and control — in food processing and in agriculture. Fraunhofer IMS develops secure, flexibly retrofittable, and scalable solutions for these purposes. These solutions enable data-driven decisions, reduce costs, and improve quality in food production and smart farming.

Why AI and innovative sensor systems are crucial

AI-based solutions and modern sensor technology make it possible to continuously and non-invasively monitor facilities, fields, and crops. Compared to rigid maintenance schedules, punctual inspections, and procedures requiring extensive manual intervention, this creates a comprehensive, data-driven view of the processes.

This enables:

  • Higher availability and better product quality through more precise predictions
  • Reduced costs through measures that meet individual needs
  • Greater safety through early detection of anomalies, contamination, or plant stress
  • Data sovereignty through edge computing — without reliance on centralized cloud infrastructures
  • Energy-efficient operation through optimized AI and sustainable sensor technology

At a glance

Customer Benefits

  • Autonomous real-time monitoring
  • Cost-effective sensor technology
  • Retrofittable into existing systems
  • High level of data security on-site

Applications

  • Predictive maintenance in processing and packaging
  • Monitoring and quality control for food processing and precision agriculture
  • Early detection of plant stress using multi- and hyperspectral cameras

Technologies

  • Application-specific sensors, e.g., soil sensors, spectral imaging
  • AI algorithms, e.g., on-device, unsupervised/federated learning, classification
  • Integrated hardware with FPGA/ASIC, low-power, sensor fusion

Services

  • AI workshops and feasibility studies
  • Machine learning for anomaly detection using sensor/image data
  • Hyperspectral measurements
  • Edge AI: Integration and scaling

Our expertise

We develop innovative sensors and bring AI exactly where it’s needed: directly at the sensor, at the edge, and across the edge-cloud continuum—for flexible, sustainable solutions in food industry and agriculture.

AI directly at the edge

Our expertise lies in running AI models on embedded systems at the sensor level. This allows you to detect process deviations or changes in real time—without involving the cloud, quickly, securely, and reliably.

Individual AI Solutions

We develop customized machine learning solutions—ranging from anomaly and pattern detection to quality and yield forecasts, as well as predictive models for various production processes and agricultural applications.

Smart Sensor Systems

Using innovative, sustainable sensor solutions, we combine data collection and analysis. Our systems detect and evaluate relevant patterns and conditions directly on-site—the foundation for efficient and flexible AI solutions.

Your Competitive Advantage

With our flexible AI solutions and intelligent sensor systems, you benefit from:

  • Optimized processes thanks to powerful edge AI
  • Minimal rejects and significant cost savings
  • Easy adaptation to new requirements through domain adaptation
  • Maximum transparency in production and in the field

Whether for production optimization, autonomous monitoring of crop fields, or the implementation of innovative sensor concepts—our solutions make your processes, facilities, and operations more efficient, safer, and thus future-proof.

Reference projects

 

FarmScan

Biodegradable sensor nodes for remote monitoring of soil parameters to support more sustainable, resilient, and resource-efficient precision agriculture.

 

CIP-GUARD

Retrofit-compatible, AI-powered sensor for condition monitoring of tank cleaning systems in the food and pharmaceutical industries.

 

ISEP

Autonomous monitoring of filling, conveying, and dosing processes using acoustic sensors to reliably detect contaminants in food production.

 

Industry (Home)

Click here to return to the overview page for the Industry business unit.