Locate and identify different plant species in the field covered with crops and various weeds for precision farming.
Use your drone (UAV) to take photos of the field. We take the images and process them with our machine learning algorithm, which can locate and identify the weeds on the field. The farmer then loads the output into the sprayer and use it for the precise application of pesticides. With our solution, you can lower the amount of used pesticides, save money, and help the environment.
This photo taken with a drone (UAV) shows a cropped detail of an orthoimage (RGB or multispectral), which is an input for our algorithm. The size of the whole field is a few hectares. The resolution of the photo is around 1 cm per pixel.
Our machine learning algorithm can identify the weeds in the field and mark areas with their occurrence. We return these areas in the CSV, JSON, GeoJSON, or another format suitable for agriculture sprayer.
Detect the weed occurrence for patch spraying. Save up to 60% of herbicide.
Recognize the weed species to select a suitable herbicide. Identification precision is 90%.
Bare ground detection
Detect the bare ground patches for precise fertilization.
Count the number of crops (or other objects) on the field and estimate the yield.
- Save money by using less pesticides.
- Lower the amount of residual substances in the crop.
- Minimize the amount of pesticides released into the environment.
- Lower the ground water contamination.
- Increase the biodiversity in your area.
Read more about How Drone Technology Is Bringing Environmental Benefits To Farms form FAO.
The price is determined by per a processed acre or gigapixel.