Standardization of communication protocols for site-specific weed treatment.

The use of Site Specific Weed Management (SSWM) is increasing on European agriculture. It can be achieved by applying a treatment only to the weed patches by dividing the sprayer boom into independent sections. The majority of the implements use their own software and communication protocols, which hinders a wide adoption. Current tractors with the aid of ISOBUS can already achieve a certain level of site specificity. The DACWEED project is an EIT-Food project that will implement and combine novel components that already exist on the market: machine vision techniques, ISOBUS communication, and smart sprayers. Sensor data deriving from cameras will provide the input to a Neural Network in order to:

  1. separate the crop from weeds
  2. make decisions for herbicide spraying
  3. communicate actions through the ISOBUS to the relevant implements or tractor movements.

The integration of perception systems for the detection and control of action devices will allow a more exhaustive, and therefore effective, herbicide treatment. The herbicide input will be reduced, leading to safer agricultural products for the consumer and the environment, and ensure a more sustainable agriculture.