Precision weeding is an advanced agricultural technique that uses technology, such as AI, robotics, and computer vision, to identify and remove weeds with high accuracy. Instead of treating entire fields uniformly, precision weeding targets only the weeds, helping farmers reduce herbicide use, lower costs, and protect crops and soil health. This method is part of a broader movement toward sustainable and data-driven farming.

Biodiversity awareness in robotics and precision weeding refers to the ability of robotic systems to recognize and preserve the natural variety of plant life in the field. Instead of removing all non-crop plants, advanced AI models can differentiate between harmful weeds and beneficial or neutral plant species. This helps protect pollinators, soil health, and overall ecosystem balance while still targeting weeds efficiently.

DynamoBot uses three specialized modules powered by an advanced vision system to classify various weeds and crops accurately. This allows the robot to choose the most appropriate treatment for each weed while avoiding harm to beneficial plants, endangered species, and the soil. By doing so, it supports sustainable farming practices and promotes field biodiversity.

DynamoBot can do both. It’s equipped to detect not only weeds but also crops, and it can precisely spray fertilizer directly on or near the plants where it will be most effective, enhancing crop growth and improving soil health.