Pattern Ag Expands Its Analytics to Include Foliar Diseases

This fall, the company announced its analytics for corn and soybeans includes below-ground pests and pathogens and now expanded to foliar diseases.
This fall, the company announced its analytics for corn and soybeans includes below-ground pests and pathogens and now expanded to foliar diseases.
(Pattern Ag)

Pattern Ag applies its technology to produce predictive agronomy with the goal of helping farmers match their input decisions to yield threats. This fall, the company announced its analytics for corn and soybeans includes below-ground pests and pathogens and now expanded to foliar diseases. 
This includes: 

  • For corn: Tar Spot, Gray Leaf Spot, Northern Corn Leaf Blight, Goss’s Wilt, Bacterial Leaf Streak and Diplodia Ear Rot. 
  • For soybeans: Charcoal Rot, Cercospora Blight, Frogeye Leaf Spot, and Anthracnose 

These newest analytics are available for all past and future Complete Bio orders in the U.S. at no extra charge.

“No other company can offer such integrated testing to predict what risks farmers face in the coming growing season,” Danielle Watts, vice president of data, said. “This data can positively impact their in-season crop scouting plans and narrow their focus when selecting hybrids, varieties, and fungicides.” 

The company says its expanding profile gives better insights for farmers to use proactive measures, mitigate risks, and protect crops against pests. For example, farmers can select disease-resistant hybrids. Retailers can help prioritize scouting activities and fungicide applications. 

“Pattern Ag is the leader in understanding field biology and using those insights to help farmers boost yield and maximize profits,” said Cam Norgate, Co-founder and Vice President of Product. “Our scientific breakthroughs are transforming agriculture by helping farmers address the unknown risks they face every season. Adding these damaging foliar diseases to our Complete Bio Panel highlights our dedication to helping farmers predict and plan for their most important decisions.”

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