UAS Imagery and Computer Vision for Site-Specific Weed Control in Corn

TL;DR

This paper presents a drone-based high-resolution imagery and computer vision approach to enable site-specific weed control in corn fields, aiming to reduce chemical herbicide usage by considering spatial weed distribution.

Contribution

It introduces a novel method combining drone imagery and computer vision for targeted weed control, improving efficiency and reducing chemical use in agriculture.

Findings

Effective weed detection using drone imagery

Reduced herbicide application through site-specific treatment

Potential for environmentally sustainable weed management

Abstract

Currently, weed control in a corn field is performed by a blanket application of herbicides which do not consider spatial distribution information of weeds and also uses an extensive amount of chemical herbicides. In order to reduce the amount of chemicals, we used drone based high-resolution imagery and computer-vision techniwue to perform site-specific weed control in corn.