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
Copyright Status
Unknown
Socpus ID
85016928712 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85016928712
STARS Citation
Menendez-Aponte, Pablo; Garcia, Christian; Freese, Douglas; Defterli, Sinem; and Xu, Yunjun, "Software And Hardware Architectures In Cooperative Aerial And Ground Robots For Agricultural Disease Detection" (2016). Scopus Export 2015-2019. 4410.
https://stars.library.ucf.edu/scopus2015/4410