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NEW YORK STATE WEATHER

Beat weather - free NEWA farm data workshop

Beat weather - free NEWA farm data workshop


By Blake Jackson

Oswego County's agricultural producers facing increasingly unpredictable weather patterns can gain valuable insights at a free informational meeting on NEWA weather stations, hosted by Cornell Cooperative Extension.

NEWA, a collaborative effort between Cornell University and the NYS Integrated Pest Management Program, provides a powerful suite of tools for farm operations. Through a network of weather stations primarily located on farms, NEWA collects real-time weather data and translates it into actionable insights. These insights can significantly improve decision-making throughout the growing season.

Here's how NEWA weather stations can empower your Oswego County farm:

Enhanced Crop Management: NEWA's data helps you anticipate harvest dates and predict pest outbreaks, allowing you to plan your resources and interventions more effectively.

Data-Driven Decision Making: With real-time weather information, you can make informed choices about irrigation, fertilization, and other critical practices, potentially leading to higher yields and improved resource management.

Stronger Crop Insurance Claims: NEWA's weather data can provide crucial documentation in case of extreme weather events like high winds, frost, or prolonged drought, strengthening your crop insurance claims.

The workshop will be held on Thursday, April 18th, from 3:00 PM to 4:30 PM at the Cornell Cooperative Extension office in Mexico, NY. Dan Olmstead, a Cornell University expert, will lead an interactive discussion format, allowing you to ask questions and gain a deeper understanding of how NEWA can benefit your specific operation.

Don't miss this opportunity to gain a valuable edge in a challenging agricultural climate. Register now, as space is limited! For more information, please call 315-963-7286 or go online to www.thatscooperativeextension.org.

Photo Credit: cornell-university

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Categories: New York, Weather

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