University of Limerick
Browse

Closed loop process control for precision farming: an agriculture 4.0 perspective

Download (654.26 kB)
conference contribution
posted on 2020-01-23, 08:53 authored by Sukumar Katamreddy, Joseph Walsh, Shane Ward, Daniel Riordan
The emergence of advanced technologies has helped in solving specific problems in agriculture. In many sectors, interoperability of new technologies has helped in solving much bigger problems on a large scale and has eventually led to widespread automation, but this automation wouldn’t have been possible without openness in communication protocols. These standard protocols have evolved over time to cater to industry needs, from partial to fully automated manufacturing processes. The overall system obtained by the integration of these technologies for automated process control and management is commonly referred to as Industry 4.0. This paper discusses the protocols and technologies used in precision farming analogous to Industry 4.0. This paper also addresses the gaps to fill by exploring the technologies and standards and by proposing a unified architecture. It is hoped that addressing these gaps will help to create a solution for fully automated process control in an Agriculture 4.0 perspective and race towards more advanced Agriculture 5.0.

History

Publication

2019 30th Irish Signals and Systems Conference (ISSC);

Publisher

IEEE Computer Science

Note

peer-reviewed

Other Funding information

SFI

Rights

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Language

English

Usage metrics

    University of Limerick

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC