Pest detection: Datasets & Models

Manual pest scouting in agriculture is slow, inconsistent, and hard to scale across acres of field or rows of greenhouse benches. Trained agronomists can't inspect every plant daily, and by the time an infestation is visible to the naked eye it may already have spread. Automating detection with computer vision lets you monitor sticky traps and canopy imagery continuously, catch outbreaks earlier, and target pesticide application only where pests actually appear. That means less crop loss, lower chemical use, and data you can act on instead of guesswork.

You get consistent, round-the-clock monitoring that surfaces pest pressure before it becomes a yield problem, and the detections integrate with the cameras, traps, and drones you already deploy. The approach scales from a single greenhouse to large field operations, and RF-DETR delivers strong accuracy on small, cluttered insect targets while remaining practical to run. Species-level counts and location data give you the inputs for precise, evidence-based treatment decisions.

1. Upload an image: Drop any photo into the widget above to try pest detection for free, right on this page.
2. Preview instant results: The model detects aphid, whitefly, beetle, caterpillar, moth within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
3. Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train RF-DETR on your own images for production accuracy.
4. Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.