
Source.ag and Axia Vegetable Seeds Announce Their Partnership
The new partnership enables Axia Vegetable Seeds to streamline trial registration for the Demo departments and optimize cultivation strategies with Source.ag’s solutions.
Source.ag is proud to announce a bold expansion of their partnership with Harvest House, Europe’s largest greenhouse grower cooperatives.
AMSTERDAM, June 5th, 2025 — Harvest House, one of Europe’s largest grower cooperatives for greenhouse vegetables is significantly expanding its partnership with AgTech scale-up Source.ag by rolling out Source’s advanced Harvest Forecast AI across its entire 600+ hectare tomato production area, serving the demand of approximately 30 million European consumers each year.
Integrating Source.ag’s Harvest Forecast AI marks a pivotal shift for Harvest House, transitioning from manual, weekly spreadsheet-based yield estimates to automated, daily-updated AI-powered yield forecasts. This technology provides detailed daily production data over a rolling 60-day window and seamlessly integrates via APIs into the cooperative’s CRM systems, greatly enhancing data availability for sales and operational planning.
"This expansion underscores our commitment to innovation and sustainability," said Yvonne Geurten, Commercial Director at Harvest House. "With Source.ag’s AI, we’re investing in unparalleled accuracy and timeliness in harvest forecasting, empowering us to reduce inefficiencies throughout the fresh produce supply chain. This reinforces our position as the leader in sustainable fresh produce production and highlights our shared vision to create more predictable and sustainable fresh produce supply chains. However, to fully realize the benefits, demand/supply optimization must be embraced throughout the entire supply chain. We urge major retailers to further strengthen demand forecasting efforts and collaborate more closely with growers to better align supply with demand, ensuring the benefits of smarter cultivation are realized across the entire supply chain."
Aggregating forecasts by product segment, the AI technology enables Harvest House to align expected supply more closely with retail demand, thereby minimizing food waste, enhancing planning precision, and improving consumer satisfaction.
"Forecasting remains one of fresh produce’s greatest challenges and a key driver of waste and financial losses for growers and retailers," stated Rien Kamman, CEO and co-founder of Source.ag. "We are proud to support Harvest House in deploying AI-driven forecasting across all their tomato hectares. This collaboration also comes at a critical time: as climate change intensifies, extreme weather events are increasingly putting global food security under pressure. Ensuring fresh produce remains available and affordable for consumers is more important than ever. This partnership directly contributes to that goal by improving predictability, reducing waste, and strengthening resilience in the food supply chain."
Specifically designed for high-tech greenhouse operations, Source.ag’s Harvest Forecast AI leverages real-time crop data, historical growing patterns, and proprietary algorithms to deliver reliable forecasts on volume, product specifications, and harvesting schedules, optimizing the entire greenhouse-to-retail process.
About Harvest House: Harvest House is a leading Dutch cooperative of greenhouse vegetable growers, specializing in the sustainable production of tomatoes, cucumbers, and peppers. It supplies high-quality fresh produce to major retailers and foodservice providers across Europe. For more information, visit www.harvesthouse.nl.
About Source.ag: Source.ag develops state-of-the-art AI technology for greenhouse growers worldwide, enabling data-driven optimization of yield, sustainability, and profitability.
The new partnership enables Axia Vegetable Seeds to streamline trial registration for the Demo departments and optimize cultivation strategies with Source.ag’s solutions.
As part of this collaboration, Axia will integrate Source.ag's solutions into its Demo Greenhouse to increase its operational efficiency.