A group of people standing in front of a red wooden building with a sign that reads "Thermo Seed." The building has a small porch and a window. The individuals are dressed in casual and business attire.

Lantmännen BioAgri / Food & Beverage

AI transforms seed treatment at Lantmännen BioAgri

Customer

Lantmännen BioAgri

Customer since

2015

Area
Data Intelligence

Intro

Using AI and ML for seed treatment

In the shadow of tradition, the light of innovation shines the brightest. Through the partnership between Elvenite and Lantmännen BioAgri, two pioneers in their respective fields, a new chapter in the history of agriculture is now being written.

A group of people standing in front of a red wooden building with a sign that reads "Thermo Seed." The building has a small porch and a window. The individuals are dressed in casual and business attire.

Case

The challenge of traditional seed treatment and test cultivation

ThermoSeed, a Swedish innovation used by Lantmännen BioAgri since 2008, marked the beginning of a new era in sustainable seed treatment. By replacing chemicals with hot steam, pests are combated without harming nature. However, this treatment is no simple task. Each seed lot has its unique nuances, and determining the ideal treatment intensity is a complex challenge. Traditionally, optimal treatment of seed lots has been established through test cultivation. This method involves treating seed samples under different conditions and then allowing them to germinate to identify the best method. However, it is a time-consuming process. From treating the samples to evaluating the results, it can take several weeks, causing delays in an already time-pressured area like agriculture.

With Elvenite's expertise in technology and data analysis, and access to Lantmännen's extensive data archive from over a decade, we were able to create a machine learning model to meet this challenge, which was seamlessly integrated into Lantmännen's IT architecture.

Machine learning and data analysis: a revolution in seed treatment

With Elvenite's expertise in technology and data analysis, and with access to Lantmännen's extensive data archive spanning over a decade, we were able to create a machine learning model to meet this challenge, which was seamlessly integrated into Lantmännen's IT architecture. This model can quickly predict the best treatment intensity for each individual seed batch. In practice, this means that farmers, instead of relying on time-consuming testing methods, can now depend on data-driven insights.

Data driven insights for more efficient farming

To clarify the model's effectiveness: for one third of the seed batches, where the model is most confident, it predicts the optimal settings with an impressive accuracy of 99%. This represents a significant improvement in efficiency and speed.

But the advancements do not stop there. With each new dataset, the AI model becomes increasingly refined. The day is not far off when the AI system will not only recommend but autonomously determine which treatment intensity is optimal.

An interdisciplinary journey towards sustainable agriculture

The Speed Seed project, supported by Lantmännen's research foundation, is much more than just a technology project. It is a fusion of several disciplines, from biology to data analysis, all with a common vision: to create a sustainable future for agriculture.

The collaboration between Elvenite and Lantmännen BioAgri illustrates how technology can go hand in hand with tradition. When these two worlds meet, we see the potential for the continued development of agriculture. Just as a seed needs both sun and rain to grow, the future of agriculture finds balance and strength in the merger of tradition and new technology.

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