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Deploying models (to tractors 🚜)

Practical AI

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Deploying ML in Agriculture

This chapter explores the challenges and strategies for deploying machine learning models in agricultural settings, emphasizing real-time data processing and the need for multiple adaptive models. It also discusses the importance of MLOps practices, model retraining, and performance evaluation metrics for effective agricultural applications.

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