Key Takeaways
- VeriGrain has launched NUTRI-LOGIC, an AI-powered nutrient analysis and recommendation platform that uses post-harvest grain samples to generate field-specific fertilizer recommendations for the following growing season, targeting $20 to $50 per acre in additional revenue for farmers.
- The platform digitises grain samples and links them directly to the fields where they were grown, solving the longstanding challenge of obtaining reliable, field-specific nutrient removal data without relying solely on soil or tissue samples.
- NUTRI-LOGIC's post-harvest nutrient removal analysis delivers macro and micronutrient uptake data that is up to 30% more accurate than standardised nutrient removal estimates, providing agronomists and farmers with more precise input data for fertilizer decisions.
- The AI recommendation engine integrates grain sample analysis with multiple additional data sources to provide nutrient recommendations before and at seeding, with the goal of minimising input costs and maximising crop yield, quality, and return on investment.
- VeriGrain is based in Saskatoon, Canada, and positions NUTRI-LOGIC as a solution for the common situation where soil and tissue sample data is unavailable, making grain nutrient analysis the only accessible data source for pre-season planning.
VeriGrain, a Saskatoon-based agtech company, has launched NUTRI-LOGIC, a nutrient analysis and recommendation platform that uses post-harvest grain samples to generate field-specific fertilizer recommendations. The AI-powered system is designed to help farmers apply the right nutrients in the right amounts at the right time, with VeriGrain estimating the platform can generate $20 to $50 per acre in additional revenue through more precise input decisions.
VeriGrain NUTRI-LOGIC: Solving the Field-Specific Sample Problem
Post-harvest nutrient removal analysis has historically been limited by the difficulty of obtaining reliable grain samples that are reliably tied to specific fields. NUTRI-LOGIC addresses this by digitising grain samples and linking them back to the fields where they were grown, enabling the platform to generate field-level nutrient recommendations rather than relying on generic estimates.
“Nutrient removal analysis has been around for a long time. The challenge has been getting reliable samples tied to specific fields. VeriGrain's NUTRI-LOGIC solves this by digitizing grain samples and linking them back to where they were grown,” said Ken Jackson, CEO of VeriGrain.
Accuracy and Data Integration
NUTRI-LOGIC's post-harvest grain analysis provides macro and micronutrient uptake data that is up to 30% more accurate than standardised nutrient removal estimates. While the nutrient removal data is designed to complement soil and tissue sample data, VeriGrain notes that soil and tissue data is frequently unavailable, making grain nutrient analysis the only accessible data source for pre-season planning in many cases. The platform's AI recommendation engine integrates grain sample analysis with multiple additional data sources to produce nutrient recommendations both before and at seeding.
VeriGrain Target Users and Economic Case
NUTRI-LOGIC is aimed at both agronomists and farmers. For agronomists, the platform provides more accurate underlying data to support the recommendations they provide to clients. For farmers, it enables more precise fertilizer decisions for the next crop, with the goal of reducing unnecessary input expenditure while maximising yield and crop quality. VeriGrain estimates the system can generate $20 to $50 per acre in additional revenue, positioning NUTRI-LOGIC as both a cost management and yield improvement tool for Canadian grain producers.
