Using UAS Imagery and Computer Vision to Support Site-Specific Weed Control in Corn
This work addresses the environmental and economic issue of overuse of herbicides in agriculture, offering a practical solution for farmers, though it is incremental as it applies existing technologies to a specific domain.
The study tackled the problem of excessive herbicide use in corn fields by developing a site-specific weed control system using drone imagery and computer vision, which reduced chemical application by targeting weeds precisely.
Currently, weed control in a corn field is performed by a blanket application of herbicides that do not consider spatial distribution information of weeds and also uses an extensive amount of chemical herbicides. To reduce the amount of chemicals, we used drone-based high-resolution imagery and computer-vision techniques to perform site-specific weed control in corn.