Deploying models (to tractors 🚜)
Practical AI
00:00
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.
Play episode from 26:40
Transcript
