AI Plant Disease Detection: Scaling to 92% Field Accuracy
Transitioning AI models from clean lab datasets to real-world field conditions often exposes critical domain shifts. In this Agritech project, our initial model’s accuracy plummeted from 95% to 62% on field images. Here is how we re-architected our vision pipelines and asynchronous Python backend to ensure reliable production inference.
