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Agmatix and BASF partner to develop AI-powered soybean pest detection tool

This collaboration combines Agmatix's AI platform with BASF's expertise in seed and crop protection, fostering the development of a user-friendly digital tool

byKerem Gülen
March 20, 2025
in Industrial, Industry

Agmatix, a leading provider of AI-driven agronomic solutions, has announced a strategic partnership with BASF, a global agricultural solutions company, to develop an advanced digital tool for detecting and predicting soybean cyst nematode (SCN) infestations. This collaboration, initiated through BASF’s AgroStart open innovation platform, aims to provide soybean growers with real-time, scalable insights to mitigate yield losses caused by this significant pest.

The core of this initiative is Agmatix’s Axiom, an AI technology engine that standardizes and enriches agronomic data. This process enables the development of a robust machine-learning model capable of accurately predicting SCN infestations across diverse conditions.

“The most critical element in any AI model is the quality of the data driving it,” said Dr. Shai Sela, Chief Scientist at Agmatix. “By harmonizing and enriching SCN field trial data through our platform, we can ensure consistent, reliable outputs – regardless of region, soil type or cropping conditions.”

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This collaboration combines Agmatix’s AI platform with BASF’s expertise in seed and crop protection, fostering the development of a user-friendly digital tool. The tool will integrate with existing farm management practices, providing near real-time SCN risk assessments and enabling tailored pest management strategies.


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Mika Eberl, Head of AgroStart and Digital Officer at BASF Agricultural Solutions, emphasized the importance of this partnership. “Collaborating with companies like Agmatix allows us to leverage advanced digital technologies and artificial intelligence in parallel with our existing seed and trait, seed treatment and crop protection solutions,” Eberl said.

SCN is a major threat to soybean yields, often going undetected until significant damage occurs. Traditional detection methods are time-consuming and labor-intensive. This new digital tool aims to provide a more efficient and scalable solution.

“Nematodes are the leading cause of soybean yield loss in the United States, costing growers an estimated $1.5 billion in yield annually,” said Michael McCarville, BASF Trait Development Manager. “BASF remains committed to developing innovative solutions…to help combat this devastating pest and protect their yield potential.”

The partnership aims to provide growers with a data-backed tool to minimize yield losses, enabling them to act before SCN causes irreversible damage.


Featured image credit: Dan Meyers/Unsplash

Tags: AI

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