Cow to Catchment Monitoring (CCM)

奶牛到流域监测(CCM)项目是一项更广泛计划的一部分，该计划旨在建立一个覆盖连接到公国学院和该流域其他农场和土地所有者的小型测试集水区的远程监测网络，以便从数十个实时、低成本、低能耗的探头接收远程数据，这些探头测量从单个农场牲畜数据和土壤健康到所有河流和支流的水质和数量数据。探测器将通过LoRaWAN技术传输数据，该技术接受在中央虚拟集线器上整理的10公里范围内的数据。这一创新的应用程序涵盖了河流中的水质和数量传感器元件，而农场传感器则由公国大学农业技术农场生产力项目覆盖。这将作为合作伙伴向该地区的农民推广这项服务的平台，作为一种整理农业企业资源保护信息的方式，并以足够高的密度收集足够的集体河流数据，以便信托基金能够销售对河流的抽象和排放商业利益的更微妙的管理，针对问题集水区，以及监控与未来洪水风险环境管理项目相关的变化。数据将显示在一个在线枢纽上，显示传感器位置和实时数据馈送，在那里可以访问和分析数据，以便进行实时决策和警报，预测和确定问题，并制定未来的非生产性环境付款。这将是满足当前水框架指令和洪水指令下的流域规模数据需求的关键一步，对于在英国退欧后如何在不需要以人为中心的监测的情况下平衡对粮食的需求以及其他商品和服务的政策格局方面起到至关重要的作用。

The Cow to Catchment Monitoring (CCM) project is part of a wider initiative to set up a remote monitoring network across a small test catchment linked to Duchy College and other farms and landowners in the catchment in order receive remote data from dozens of real time, low cost, low energy, probes measuring everything from individual farm livestock data and soil health to water quality and quantity data in all streams and tributaries. The probes will transmit data through LoRaWAN technology that accepts data over a 10km range collated on a centralised virtual hub. This innovate application covers the in-river water quality and quantity sensor elements whereas the farm sensors are covered by a Duchy College Agri-tech farm productivity project.This will serve as a platform for the partnership to market this service to farmers across the region as a way of collating both agri-business resource protection information but also collate sufficient collective river data at a sufficiently high density so the Trust can market more nuanced management of abstraction and discharge business interests on the river, target problem catchments as well as monitor change related to future environmental management projects for flood risk, water quality improvements and drought resilience.The data would be displayed on an online hub showing sensor location and live data feeds, where data can be accessed and analysed allowing for live decision making and alerts, forecasting and identifying issues and framing future non-produce environmental payments. This will be a crucial step in meeting the catchment scale data needs under the current Water Framework Directive and the Floods Directive and will be vital in leading the way in a post Brexit policy landscape on how to balance the need for food alongside other goods and services without the need for human centred monitoring.