Predicting escherichia coli levels in manure using machine learning in weeping wall and mechanical liquid solid separation systems

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SUMMARY

    In confined agroecosystems such as intensive dairy farms, significant quantities of animal wastes are generated that need to be managed efficiently (Van Horn et_al, 1994; Meyer et_al, 1997; Neufeld et_al, 2017). Compared to the physical and chemical characteristics, there is limited research investigating the effect of the SLS and WW Systems toward reducing the risk of pathogenic bacteria in the dairy agroecosystems, though other forms of solid separation systems have shown variable but occasionally promising results (Boutilier et_al, 2009; Liu et_al, 2017; Wang et_al, 2019). With an increased interest in the application of treated . . .

     

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