About This workshop
This immersive full-day workshop, 'Corn Belt AI,' offers a practical deep dive into applying predictive analytics and machine learning techniques specifically tailored for agricultural challenges. Participants will gain hands-on experience with Python libraries like Pandas, Scikit-learn, and TensorFlow, learning to build models for forecasting crop yields, optimizing irrigation schedules, and identifying potential pest outbreaks before they escalate. We will cover data collection best practices from sensors and drones, feature engineering for time-series agricultural data, and model deployment strategies for real-world farm applications. Ideal for agronomists, farmers, data scientists, and agricultural technologists looking to harness the power of AI to drive innovation and sustainability in modern farming practices.
