학술논문

Using UAS Imagery and Computer Vision to Support Site-Specific Weed Control in Corn
Document Type
Working Paper
Source
Subject
Computer Science - Computer Vision and Pattern Recognition
Computer Science - Artificial Intelligence
Electrical Engineering and Systems Science - Image and Video Processing
Language
Abstract
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.
Comment: 16 Figures, 3 Tables,. arXiv admin note: substantial text overlap with arXiv:2204.12417