Leading AI-powered solutions provider, Agmatix recently announced a strategic collaboration with BASF, one of the world’s largest chemical and agricultural solutions companies, to develop a cutting-edge digital solution aimed at detecting and predicting the presence of soybean cyst nematode (SCN)
The collaboration began through AgroStart, an open innovation and partnership platform by BASF, that aims to empower soybean growers with real-time, scalable insights to mitigate yield losses caused by SCN, one of the most damaging and often invisible soybean pests. Axiom, an advanced AI technology engine developed by Agmatix is the core of this initiative. It transforms vast amounts of raw agronomic data into highly standardised and enriched datasets. This rigorous data process enables the development of a robust machine-learning model capable of detecting and predicting SCN infestations with unprecedented accuracy and scalability.
Developed through AgroStart by BASF, this initiative combines Agmatix’s AI-driven agronomic platform with the deep expertise of BASF in seed and crop protection solutions and will foster the development of a scalable, user-friendly digital model. The tool will integrate with existing farm management practices, enabling users to access near real-time SCN risk assessments and tailor their pest management strategies accordingly.
SCN remains the leading pest in soybeans, with infestations frequently going undetected until yields are significantly affected. Traditional detection methods, such as soil sampling or mid-season root digs, are time-consuming, labour-intensive and not widely adopted. A digital tool could help create awareness and compliment these traditional methods.
By providing accurate, predictive data on SCN infestations, the Agmatix-BASF collaboration paves the way for future innovations in pest management and digital agriculture. The joint effort represents a significant leap forward in integrating digital agriculture with crop protection strategies, demonstrating how advanced analytics can drive on-farm decision-making and improve agronomic outcomes.
“Our collaboration with BASF is driven by the urgent need to provide a practical, data-backed tool that helps growers minimise yield losses caused by SCN,” added Ron Baruchi, president & CEO at Agmatix. “By digitising large volumes of field trial data within Axiom, we believe our machine learning model will give growers the power to act before SCN causes irreversible damage.”