Syngenta’s New Tool Uses Satellites, Algorithms to Find Nematodes In Soybean Fields

Although nematodes are microscopic, Syngenta has partnered with Gamaya SA (a Swiss tech company) to develop a way satellite imagery can be analyzed using a data algorithm to diagnose infestations.
Although nematodes are microscopic, Syngenta has partnered with Gamaya SA (a Swiss tech company) to develop a way satellite imagery can be analyzed using a data algorithm to diagnose infestations.
(Syngenta)

First being launched in Brazil, Syngenta is bringing a new way to battle nematodes, which can cause up to 30% yield losses. 

Although nematodes are microscopic, Syngenta has partnered with Gamaya SA (a Swiss tech company) to develop a way satellite imagery can be analyzed using a data algorithm to diagnose infestations. 

The digital tool will become part of Syngenta’s Cropwise platform.

“Harmful nematodes that devastate crops are a major threat to farmers and food security, and Syngenta is using cutting-edge digital solutions to help combat these pests,” said Jeff Rowe, President Global Crop Protection. “We are excited to be launching this product in Brazil, and there is great potential to scale this solution to other countries and crops and transform the decision-making capabilities for growers.”

The goal is to use the tool to help farmers not only identify where nematodes are in the field but also dial in field management practices to avoid yield losses and optimize input use. 

“At Syngenta, we will continue to invest in machine learning and data science, to develop further breakthrough offers for farmers,” said Feroz Sheikh, Chief Information and Digital Officer of Syngenta Group. “The technology is a great addition to our Cropwise platform, which already digitally connects almost 200 million acres of land, and underlines our commitment to invest in and partner with providers in the AgTech space.”

Syngenta is also launching its next-generation nematicide/fungicide Tymirium. It can applied to the seed and to the soil. 
 

 

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