AgResearch
Browse
- No file added yet -

Understanding pathways of digital technology development to improve farm sustainability and resilience

Download (451.26 kB)
journal contribution
posted on 2024-03-22, 00:42 authored by David StevensDavid Stevens, Warren KingWarren King, Esther MeenkenEsther Meenken, Jamie WardJamie Ward

We explored potential pathways of digital technologies to improve both resilience and sustainability outcomes in grazing systems by investigating the development requirements of virtual herding technologies. We used a Lead User group familiar with virtual herding technology to examine the question “after virtual herding has been successfully adopted, what will the future look like”? This group included agribusiness, industry, corporate farm management, farmers, and science. A brainstorming approach generated ideas. A horizontal prototype was built by clustering ideas into themes of the technology itself, requirements of people, applications, and outcomes, allocated to short-, medium-, and long-term timeframes. Steps required for technology development included: production of a minimum viable product, integration of sensors, and the addition of landscape digitisation. The requirements/impacts on people identified training and awareness, development of skills and labour requirements, and the changing roles of people in the landscape as a progression of change. Applications included productivity, environmental protection, landscape development and enterprise change. A range of requirements were identified within each of these steps and categories. The development of a vision of future technology use provides insight into the complexity of developing digital technologies for sheep and beef farming applications.

NZBIDA

Funding

MBIE New Zealand Biological Industries in the Digital Age programme

AgResearch SSIF Hill Country Capability programme

History

Rights statement

This work is licensed under a Creative Commons Attribution-Non Commercial-NoDerivatives 4.0 International License.

Publication date

2023-11-10

Project number

  • PRJ0649639

Language

  • English

Does this contain Māori information or data?

  • No

Publisher

NZ Grassland Association

Journal title

Journal of New Zealand Grasslands

ISSN

2463-2872

Volume/issue number

85

Page numbers

95-102

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC