Seed Meets Technology 2026 – Key Themes Shaping the Seed Industry

Seed Meets Technology 2026 once again brought together companies, researchers and technology providers working across breeding, seed production, trialing and commercialization.

This year’s edition showed clearly that the conversation around digital innovation in the seed industry is changing. The focus is moving from individual digital tools toward a broader question: how can individual technologies become integrated and support decision-making throughout the entire variety life cycle?

AI is becoming more practical

Artificial intelligence was one of the most visible topics of this year’s conference.

The discussions I had, have identified that whereas there are inclreasingly appealsing applications include image analysis, phenotyping, trial evaluation, data interpretation and decision support quite a few companies don’t have the necessary AI strategies, data backbone and skillset to benefit from the technological storm.

The value of AI does not come from replacing expertise. Its role is more often to help specialists process larger volumes of information, identify patterns faster and support decisions that would otherwise require significant manual work.

At the same time, AI introduces a very practical challenge: the quality of its outputs depends heavily on the quality of the underlying data.

Structured, consistent and well-described datasets are therefore becoming increasingly important.

Phenotyping is becoming more automated

Another strong direction visible during Seed Meets Technology was the development of automated phenotyping.

Computer vision and image-based analysis allow companies and research teams to measure characteristics such as plant development, uniformity, germination or growth with greater consistency.

This creates an important change in the way trials can be evaluated.

Traditional observations remain essential, but they can increasingly be supported by objective measurements collected at scale.

The result is not only faster data collection, but also the possibility of comparing varieties and treatments using more standardized information.

More data does not automatically mean better decisions

The seed industry already generates large volumes of data.

Breeding programs, field trials, laboratory analyses, production processes and commercial activities all create information that can potentially support decision-making.

The challenge is that these datasets are often created for different purposes, stored in different formats across different systems.

As a result, one of the most important questions is no longer simply how to collect more data, but how to connect and interpret the data that already exists.

This is particularly relevant when teams want to compare trial performance across locations, analyze variety development over time or understand how technical performance relates to market conditions.

The role of human expertise remains central

Despite the growing use of automation and AI, one conclusion remains clear: expert knowledge is still critical.

Algorithms can identify patterns, compare large datasets and automate repetitive analyses. They do not automatically understand the broader context of a breeding program, market conditions or strategic priorities.

The future of technology in the seed industry is therefore likely to be based on collaboration between human expertise and increasingly advanced analytical tools.

From experimentation to integration – how to benefit from it?

Perhaps the biggest shift visible at Seed Meets Technology 2026 is that many technologies are moving beyond the experimental stage.

The discussion is increasingly about implementation, integration and scalability.

Companies are asking practical questions:

How can new technologies fit into existing workflows?

How can data from different stages of the variety lifecycle be connected?

How can automation improve efficiency without adding unnecessary complexity?

And how can new tools support specialists rather than create another isolated source of information?

These questions suggest that digital transformation in the seed industry is entering a more mature phase.

The next challenge will not only be developing new technologies, but integrating them into everyday work in a way that creates reliable, usable knowledge.

If you want to see how we help Seed Businesses navigate this challenge reach out!