New Motion Blur Approach Could Help Farmers Weed Their Crops
Weeds are a major problem for farmers, costing them billions of dollars every year in lost crops and labor. But now, a new approach to weed control could help reduce the costs of weed management. Researchers have developed a motion-blur approach to weed control, which uses computer vision and machine learning to identify weeds in a field and selectively apply herbicides to them. The motion-blur approach works by taking multiple images of a field, then blending them together to create an image with increased contrast between weeds and crop plants. The result is an image that is easier for a computer to interpret and identify weeds. This approach could save farmers time and money, while also reducing their environmental impact.
source: Phys.org