A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management

Abstract

In this work we demonstrate a rapidly deployable weed classification system that uses visual data to enable autonomous precision weeding without making prior assumptions about which weed species are present in a given field. Previous work in this area relies on having prior knowledge of the weed species present in the field. This assumption cannot always… (More)
DOI: 10.1016/j.compag.2018.02.023

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