Innovative Methods to Support R&D

As the demand for sustainable agriculture grows, biostimulants are playing a critical role in enhancing plant growth, natural processes, resilience, and yield. However, proving their efficacy requires reliable, scalable, and data-rich testing methods. Our biostimulants offering includes innovative digital phenotyping to track plant performance, biochemical profiling to quantify stress levels, and genomics to precisely understand product Mode of Action.

Our advanced Phenotyping Facility (using Phenospex Plant Eye Technology) integrates multispectral imaging, advanced sensors, and AI-powered data analysis to deliver rapid, reliable phenotypic data. This allows us to assess plant traits and plant performance with greater speed and accuracy than traditional methods.

Our capabilities include:

• Multispectral, hyperspectral, thermal, and RGB imaging
• Detection and quantification of plant stress (abiotic and biotic) factors.
• Measure plant growth and development in response to biostimulant application

This approach not only accelerates product development but also generates high-quality data that supports with regulatory submissions, product compliance, and marketing claims.

Supporting a Sustainable Agrifood Supply Chain

Whether you're working with crop inputs, or crop genetics, understanding plant stress response is vital. Our biostimulant services help you:

• Quantify plant performance under abiotic and biotic stress
• Assess the efficacy of biostimulants and plant protection products
• Compare product performance across different growth stages and environments
• Optimise formulation and application strategies
• Reduce time to market through predictive performance metrics
• Support with REACH regulations, Fera has extensive experience of undertaking laboratory studies to support the registration of products under REACH

Explore expert insights into the industry and how we are helping to transform biostimulant testing, helping to demonstrate efficacy and boost sustainable crop performance.