Cow to Catchment Monitoring (CCM)

奶牛到集水区监测（CCM）项目是一项更广泛的倡议的一部分，该倡议旨在建立一个远程监测网络，横跨一个小的测试集水区，该集水区与公爵学院和其他农场和土地所有者相连，以便从数十个实时、低成本、低能耗的探测器接收远程数据，测量从单个农场牲畜数据和土壤健康到所有溪流和支流的水质和数量数据等一切数据。探测器将通过LoRaWAN技术传输数据，该技术接受10公里范围内的数据，并在一个集中的虚拟集线器上进行整理。这一创新应用涵盖了河内水质和水量传感器元素，而农场传感器则由公爵学院农业技术农场生产力项目涵盖。这将作为一个合作平台，向整个地区的农民推销这项服务，作为一种整理农业企业资源保护信息的方式，同时也以足够高的密度整理足够的集体河流数据，这样信托基金就可以推销更细致入微的抽象管理和河流上的商业利益，针对问题集水区，以及监测与未来洪水风险环境管理项目相关的变化。改善水质和抗旱能力。数据将显示在一个在线中心，显示传感器位置和实时数据馈送，数据可以访问和分析，允许实时决策和警报，预测和识别问题，并制定未来的非生产环境支付。这将是满足当前《水框架指令》和《洪水指令》下集水区规模数据需求的关键一步，对于在英国脱欧后的政策格局中引领如何在不需要以人为中心的监测的情况下平衡对食物和其他商品和服务的需求至关重要。

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.