Key Takeaways
- DENSO and DELPHY have signed a Joint Development Agreement to accelerate the creation of a system enabling stable planned cultivation through data-driven smart horticulture.
- The collaboration follows an April 2025 Memorandum of Understanding and focuses on automated crop-growth data acquisition and high-precision yield prediction models.
- DENSO will apply its sensing and image-processing expertise from automotive technologies to automate data collection, increasing accuracy and sample volume.
- DELPHY will integrate high-precision prediction models into its QMS cultivation management software, helping growers improve production planning, secure reliable sales contracts, and reduce food waste.
- Joint development is expected to be completed by fiscal year 2028, supporting long-term greenhouse stability and addressing global challenges linked to climate change and labor shortages.
DENSO and DELPHY Formalize Joint Development Agreement for Smart Horticulture
Partnership Targets Stable, Data-Driven Greenhouse Production
DENSO CORPORATION and DELPHY GROEP BV have entered into a Joint Development Agreement, signed on October 1, to advance technologies that support stable planned cultivation within data-driven smart horticulture systems. The agreement deepens the collaboration initiated under an April 2025 Memorandum of Understanding, with both companies now formally aligned on developing next-generation cultivation and prediction tools for greenhouse growers.
As climate change, labor shortages, and rising food-security concerns intensify worldwide, the need for reliable, scalable, and sustainable agricultural production systems continues to grow. The partnership between DENSO and DELPHY aims to deliver solutions enabling consistent, predictable output regardless of environment or operator skill.
Automated Crop-Growth Data Collection to Improve Prediction Accuracy
DENSO will apply its long-standing strengths in sensing, imaging, and automated data acquisition—developed through its automotive component engineering—to greenhouse environments. By replacing manual crop observation and measurement with automated systems, DENSO expects to:
- Significantly increase data sampling volume
- Improve data accuracy
- Enable more robust and precise yield prediction
These automated datasets will serve as the foundation for advanced prediction models tailored to greenhouse crop behavior.
DELPHY to Integrate Precision Models Into QMS Cultivation Software
DELPHY will incorporate the jointly developed high-precision yield prediction models into its cultivation management platform, QMS. This integration will help growers:
- Plan production and sales with greater accuracy
- Enter dependable supply agreements with wholesalers and retailers
- Enhance greenhouse operational stability
- Reduce food waste through improved harvest forecasting
- Increase profitability through optimized resource and sales planning
By combining automated crop-growth analytics with actionable software insights, the companies aim to provide growers with a complete data-driven planning solution.
Development Timeline and Strategic Impact
Joint development is scheduled for completion by the end of fiscal year 2028. The long-term objective is to commercialize cultivation management software capable of delivering high-precision yield prediction, supporting greenhouse producers as they navigate volatile environmental and market conditions.
Through the combined capabilities of DENSO’s technological expertise and DELPHY’s horticultural knowledge, the partnership aims to accelerate the adoption of data-driven smart horticulture and address structural challenges impacting global greenhouse production systems.
