Smart Validation of a Biostimulant for Fertilizer Efficiency through Digital Agriculture

We are an agrifood company that has developed an innovative next-generation biostimulant aimed at reducing the waste and overuse of conventional fertilizers by improving nutrient uptake efficiency, plant metabolism, and crop performance. As fertilizer costs continue to rise and environmental regulations become stricter, farmers need practical solutions that maintain productivity while lowering input dependency and nutrient losses.

To accelerate the market validation and technical deployment of this solution, we are seeking collaboration with an agri-tech company specialized in data analytics, digital agriculture services, decision-support systems, remote observation monitoring, precision farming tools, and agronomic data integration.

The purpose of this collaboration is to establish a real-field pilot project where biological innovation and digital agriculture technologies work together to generate measurable value. Through field trials and commercial farm demonstrations, the selected partner would apply advanced monitoring systems such as satellite imagery, sensor-based observations, vegetation indices, field mapping, climatic datasets, soil indicators, and predictive models in order to assess crop response under different fertilization strategies combined with our biostimulant.

This creates a strong dual-benefit opportunity:

For our company:

• Scientific validation of the biostimulant under real agronomic conditions

• Generation of robust performance data related to fertilizer reduction, crop vigor, yield stability, and nutrient efficiency

• Faster market credibility through evidence-based results

• Better understanding of crop-specific and region-specific application protocols

  For the agri-tech partner:

  • Opportunity to test and improve digital agriculture platforms in a commercially relevant use case

  • Enhancement of decision-support tools through integration of biological input response data

  • Development of stronger agronomic algorithms and recommendation models

  • Access to a new application segment combining biostimulants with precision agriculture services

  The wider ambition of the challenge is to demonstrate how digital farming systems and sustainable biological inputs can jointly reduce fertilizer dependency, lower environmental footprint, improve farm profitability, and support the transition toward smarter and more resilient agriculture systems.