AI for Weather Forecasting: Helping Farmers Prepare for Extreme Weather

​Weather can be unpredictable, especially when farmers face droughts, floods, heat waves, and other extreme conditions. Better forecasts can help farmers plan ahead and make timely decisions.

​This webinar will look at how AI and deep learning can improve weather forecasting and help identify extreme weather patterns.

​We’ll look at real-world Omdena projects using weather data and AI, and how these insights can support better farming decisions and weather preparedness.

​What we’ll explore

​🔹 How AI and deep learning can improve weather forecasting
🔹 How weather data can help identify extreme weather patterns
🔹 How AI can support farmers preparing for droughts, floods, and heat waves
🔹 How better forecasts can support farming decisions
🔹 Key challenges in building reliable AI-powered weather forecasting models
🔹 Applications of AI-powered weather forecasting beyond agriculture

​Who should attend

• ​Farmers and agricultural professionals

• ​Agriculture and agribusiness decision-makers

• ​Climate and sustainability professionals

• ​Environmental and weather researchers

• ​Government and public-sector decision-makers

• ​Disaster and climate-risk professionals

• ​AI, machine learning, and data science professionals

• ​Energy and transportation professionals interested in weather forecasting

​📅 October 14, 2026
🕒 3:00–3:45 PM UTC
💻 Online

​Join us to explore how AI-powered weather forecasting can help farmers prepare for extreme weather, make better-informed decisions, and build greater resilience.

​Note: This is a pre-recorded webinar with an AI-generated voice.