Title

Software And Hardware Architectures In Cooperative Aerial And Ground Robots For Agricultural Disease Detection

Keywords

Agricultural robot; Cooperative vehicle network; Disease detection; Field robot; Precision agriculture; Software architecture; UAV

Abstract

Currently, disease detection tasks performed on strawberry crops are conducted by human scouts. This qualitative approach is susceptible to error and relies on the visibility of symptoms which are discernable only after the disease has progressed to a certain stage. Precision agriculture is a thriving new discipline that promises to integrate new autonomous machine technology with agronomy. In this research, the cooperation of dedicated ground and aerial vehicles is proposed to undertake the challenging task of early stage disease detection for commercial farms. The focus of this paper is the architectures of the communication, software, and hardware in such a network.

Publication Date

1-1-2016

Publication Title

Proceedings - 2016 International Conference on Collaboration Technologies and Systems, CTS 2016

Number of Pages

354-358

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/CTS.2016.68

Socpus ID

85016928712 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85016928712

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