Weed Detection

Computer-vision models distinguish crops from weeds so spraying can target only the plants that need treatment.

Data requirements

• camera imagery (image) — Computer vision requires visual data to distinguish crops from weeds.

AI methods and techniques

• computer vision — Used to analyze images and distinguish crops from weeds.
• model training — Models are trained on crop-and-weed examples for the spraying application.
• model validation — The team validates the models before they are used in the product-development process.

Industries

Real-world evidence

1 documented case study on record.

Companies using this: John Deere.