Work

Using UAS Imagery and Computer Vision to Support Site-Specific Weed Control in Corn

Year: 2022

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2206.01734

Authors: Sapkota, Ranjan, Flores, Paulo

Institution: North Dakota State University

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: green

Funders: North Dakota State University, North Dakota Corn Utilization Council

OpenAlex ID: W4281858973

Cites:

Cited by: 3

Related to: 10