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  1. Article ; Online: Designing profitable and climate-smart farms using virtual reality.

    Lasseur, Remy / Laurenson, Seth / Ali, Mohsin / Loh, Ian / Mackay, Mike

    PloS one

    2023  Volume 18, Issue 6, Page(s) e0286723

    Abstract: Many pastoral farmers are searching for ways to lower the carbon emission footprint that is generated by livestock. Planting trees on the farm is currently a popular option for farmers to offset their emissions yet requires knowledge of suitable tree ... ...

    Abstract Many pastoral farmers are searching for ways to lower the carbon emission footprint that is generated by livestock. Planting trees on the farm is currently a popular option for farmers to offset their emissions yet requires knowledge of suitable tree species and locations to plant them. This paper describes a decision-support tool aimed at helping farmers to create and visualise different planting designs while balancing the objectives of sequestering carbon and maintaining farm profitability. We take an innovative approach by combining virtual reality technology with biophysical models to create an environment where the user can actively create virtual future farm scenarios. Through the creation process, the user can simultaneously balance multiple objectives including farm aesthetics, economic returns, business and environmental ambitions, and carbon emissions (net) balance. For this proof-of-concept study, we incorporate virtual reality technology in Unreal Engine, environmental and financial data, and high-resolution spatial layers from an operational 400-hectare livestock farm in New Zealand.
    MeSH term(s) Animals ; Humans ; Farms ; Dairying ; Farmers ; Livestock ; Virtual Reality ; Carbon
    Chemical Substances Carbon (7440-44-0)
    Language English
    Publishing date 2023-06-02
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0286723
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  2. Article ; Online: Novel use of Kombucha consortium to reduce Escherichia coli in dairy shed effluent.

    Laurenson, Seth / Villamizar, Laura / Ritchie, Willis / Scott, Sonya / Mackay, Mike

    Journal of the science of food and agriculture

    2021  Volume 101, Issue 14, Page(s) 6143–6146

    Abstract: Background: Faecal contamination from dairy farm effluent is a major risk to water quality in New Zealand. In this experiment we have tested the efficacy of Kombucha SCOBY (symbiotic culture of bacteria and yeast), to reduce the concentration of ... ...

    Abstract Background: Faecal contamination from dairy farm effluent is a major risk to water quality in New Zealand. In this experiment we have tested the efficacy of Kombucha SCOBY (symbiotic culture of bacteria and yeast), to reduce the concentration of Escherichia coli in dairy shed effluent (DSE).
    Results: Kombucha SCOBY was highly effective in lowering the number of E. coli colony forming units (CFUs) to levels that were undetectable. The decrease in CFUs occurred rapidly within 48 h of Kombucha SCOBY being inoculated to the effluent matrix and was accompanied by a corresponding decline in pH.
    Conclusion: We conclude that Kombucha SCOBY was effective in reducing the abundance of E. coli in DSE due to its effect on solution pH. Further work is required to assess the practicality of treating DSE with Kombucha SCOBY within a farm environment where effluent management and climatic complexities are important. © 2021 Society of Chemical Industry.
    MeSH term(s) Animals ; Bacteria/growth & development ; Bacteria/metabolism ; Biodegradation, Environmental ; Escherichia coli/growth & development ; Feces/microbiology ; Fermentation ; Livestock ; Microbial Consortia ; Waste Management/methods ; Yeasts/growth & development ; Yeasts/metabolism
    Language English
    Publishing date 2021-04-22
    Publishing country England
    Document type Evaluation Study ; Journal Article
    ZDB-ID 184116-6
    ISSN 1097-0010 ; 0022-5142
    ISSN (online) 1097-0010
    ISSN 0022-5142
    DOI 10.1002/jsfa.11250
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Novel use of Kombucha consortium to reduce Escherichia coli in dairy shed effluent

    Laurenson, Seth / Villamizar, Laura / Ritchie, Willis / Scott, Sonya / Mackay, Mike

    Journal of the science of food and agriculture. 2021 Nov., v. 101, no. 14

    2021  

    Abstract: BACKGROUND: Faecal contamination from dairy farm effluent is a major risk to water quality in New Zealand. In this experiment we have tested the efficacy of Kombucha SCOBY (symbiotic culture of bacteria and yeast), to reduce the concentration of ... ...

    Abstract BACKGROUND: Faecal contamination from dairy farm effluent is a major risk to water quality in New Zealand. In this experiment we have tested the efficacy of Kombucha SCOBY (symbiotic culture of bacteria and yeast), to reduce the concentration of Escherichia coli in dairy shed effluent (DSE). RESULTS: Kombucha SCOBY was highly effective in lowering the number of E. coli colony forming units (CFUs) to levels that were undetectable. The decrease in CFUs occurred rapidly within 48 h of Kombucha SCOBY being inoculated to the effluent matrix and was accompanied by a corresponding decline in pH. CONCLUSION: We conclude that Kombucha SCOBY was effective in reducing the abundance of E. coli in DSE due to its effect on solution pH. Further work is required to assess the practicality of treating DSE with Kombucha SCOBY within a farm environment where effluent management and climatic complexities are important. © 2021 Society of Chemical Industry.
    Keywords Escherichia coli ; agriculture ; dairy farming ; farms ; kombucha ; pH ; risk ; water quality ; yeasts ; New Zealand
    Language English
    Dates of publication 2021-11
    Size p. 6143-6146.
    Publishing place John Wiley & Sons, Ltd.
    Document type Article
    Note JOURNAL ARTICLE
    ZDB-ID 184116-6
    ISSN 1097-0010 ; 0022-5142
    ISSN (online) 1097-0010
    ISSN 0022-5142
    DOI 10.1002/jsfa.11250
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