R&D Tax Credit for Agri &
FoodTech

Industry-Specific Requirements in Agriculture & FoodTech

The agriculture and food industry is undergoing a technological revolution that offers significant funding potential for the Research Allowance. Precision farming systems combine sensors, data analysis and actuators in new ways: The development of multi-sensor platforms (NIR spectroscopy, hyperspectral cameras, soil sensors), GPS-RTK-guided application technology and AI-based yield prediction models generates eligible R&D costs. Adapting existing sensor technologies to specific field conditions (weather, soil vibrations, dust exposure) also constitutes experimental development.

Food processing innovations encompass a wide spectrum of eligible activities: high-pressure pasteurization (HPP), pulsed electric fields (PEF), UV-C treatment, extrusion texturing for plant-based proteins and innovative encapsulation technologies for flavors or active ingredients. Developing and optimizing these processes requires systematic test series on process parameters, shelf-life studies and sensory evaluations – classic R&D activity under the FZulG.

The development of agricultural sensor technology is particularly eligible. Soil moisture sensor networks, imaging techniques for plant disease detection, automatic weed recognition using computer vision and drone-based crop analysis require combining different technology domains. Integrating IoT platforms, edge computing for real-time field decisions and developing robust communication infrastructure (LoRaWAN, NB-IoT) for agricultural environments offer diverse R&D starting points.

The EU Novel Food Regulation (EU) 2015/2283 places special requirements on companies looking to bring novel foods or ingredients to market. The safety assessments required for approval – toxicological studies, allergenicity testing, nutrient analyses and bioavailability studies – are eligible R&D activities. The development of alternative protein sources (insect protein, mycoprotein, cell-based foods) and fermented foods with functional properties also offers significant funding potential. Our consultants understand the interfaces between food law and R&D funding.

Eligible Agriculture & FoodTech Projects

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Precision Agriculture with Sensor and Drone Technology

Developing precision agriculture systems based on modern sensor and drone technology is a prime example of eligible R&D in the agricultural sector. Eligible activities include researching multispectral and hyperspectral sensor systems for site-specific detection of plant stress, nutrient deficiencies and disease infestation, developing algorithms for automated drone image analysis using computer vision and deep learning, and designing IoT networks for real-time soil monitoring (moisture, pH, nutrient content). Technical uncertainty lies in whether the developed models achieve sufficient prediction accuracy under real field conditions – varying light conditions, soil heterogeneity and weather influences. Researching Variable Rate Technology (VRT) for site-adapted fertilization and crop protection also regularly qualifies for the Research Allowance.

Alternative Protein Production Methods

Developing alternative protein sources offers significant funding potential and encompasses several highly innovative research areas. These include researching and optimizing fermentation processes for producing microbial proteins (precision fermentation), developing plant-based protein extracts with improved functionality – texture, solubility, emulsifying capacity –, researching insect protein processing technologies and designing cellular agriculture (cultured meat). Technical uncertainty is evident in whether the developed processes achieve the targeted cost-effectiveness, product quality and food safety when scaling from laboratory to production scale. Personnel costs for food technologists, microbiologists and process engineers working on process development and product characterization are fully eligible. Contract research at universities – for example, for sensory studies or nutrient analyses – is considered at 70 percent.

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Vertical Farming Automation

Vertical farming combines agricultural and technology research and offers numerous eligible project approaches. Eligible activities include developing intelligent climate control systems that automatically adjust temperature, humidity, CO₂ concentration and light spectrum to the plant growth phase, researching optimal LED light recipes for different crops, designing automated harvesting and maintenance robots for vertical growing systems and developing closed nutrient loop systems (aquaponics, aeroponics). Particularly eligible are projects developing machine learning algorithms for predictive growth control – for example, models that predict the optimal harvest time from sensor data or detect disease outbreaks early. Technical uncertainty lies in whether the developed systems achieve the energy efficiency required for economically viable production at industrial scale.

Food Safety with AI and Machine Learning

Developing AI-powered food safety systems is a growing eligible R&D area. This includes researching real-time monitoring systems based on spectroscopic methods (NIR, Raman) for rapid contamination detection, developing predictive models for shelf-life forecasting based on environmental data and product characteristics, designing blockchain-based traceability systems for the entire supply chain and creating image-based AI methods for automated quality control in food production. Particularly eligible are projects developing novel biosensors or electronic noses for detecting mycotoxins, pesticide residues or pathogenic bacteria. Technical uncertainty consists in whether the developed systems achieve the required detection reliability and speed under industrial production conditions – vibrations, temperature fluctuations, varying product properties – to be integrated into existing production lines.

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