Weather Forecast
Objective: To provide advanced, precise weather forecasts that are highly relevant to agricultural and commodity markets in Europe (GraphCast seems to work well)
Tasks:
1.Data Integration: Integrate real-time and historical weather data from various global sources.
2.Model Training: Utilize machine learning models to analyze patterns in weather data, focusing on factors that impact agricultural yields (like temperature, rainfall, humidity, etc.).
3.Predictive Analysis: Develop capabilities to predict weather patterns for 2024 with a focus on key regions relevant to Aston Group's operations.
4.Customization for Agriculture: Tailor forecasts to highlight implications for wheat, corn, and soy crops.
Expected Outcomes:
•Accurate weather predictions for specified regions and periods.
•Insights on potential agricultural yield impacts.
•Regular updates as new data becomes available.
please send me your resume and portfolio about ML\AI
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