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所在平台: Udemy |
课程主页: https://www.udemy.com/course/digital-farming-foundation/
课程评论:没有评论
课程名称:数字农业基础 课程概述:数字农业是农民运用技术整合财务和田间记录,以实现全面的农场活动管理的过程。数字农业使得精准农业和智能农业的方法得以持续应用,促进农场内部和外部的网络连接,并利用基于网络的数据平台及大数据分析。通过数字农业,农民能够获取及时且有价值的洞察,采用最佳实践,更高效地管理农场,从而减少损失、最大化利润。数字农业依赖于高速可靠的互联网连接、卫星图像和移动设备。虽然数字农业与传统农业同样重要,但其根本上依赖于数据的收集、存储和分析。精准农业的发展速度依赖于更广泛的技术进步,这使得农业设备能够更准确并优化针对特定农业用途的操作。随着通信技术的进步,农民的生产得以提高,产量得以最大化,废物减少,环境保护得到加强,同时降低了人工成本和不必要的风险,而无需扩展土地或进行多元化经营。现在,农民做出决定的上限已不如以前,现在数据和软件负责决策,农民仅需执行这些决策。连接性在物联网的快速发展中至关重要,更低功耗的网络和更便宜的传感器将为物联网的规模化奠定基础,支持精准灌溉、大规模牲畜监控及远程建筑和大型机械车队的使用与性能跟踪等应用案例。
Digital farming is the use of technology by farmers to integrate financial and field level records for complete farm activity management. Digital farming enables the consistent application of methods of precision farming and smart farming, internal and external networking of the farm and used of web based data platforms together with big data analyses. Digital farming gives farmers access to timely valuable insights so that they can adopt best practices and manage farms more efficiently thus reducing losses and maximizing profits. Digital farming relies on having reliable high-speed internet connections, satellite imagery and mobile devices. This is because while digital agriculture is as nature as traditional farming, it fundamental relies on collecting, storing and analyzing data.Precision farming has only really developed at speed thanks to these broader technological developments that have allowed farming equipment to become more accurate and optimized for specific agriculture uses. As communication technology has progressed, farmers have increase production, maximized yields, reduce waste, cared for the environment, cut manual labor and eliminated unnecessary risk without acquiring new land of diversifying. Farmers no longer make as many decisions as they previously used to, now data and software make decisions, the farmers simply carry them out. Connectivity is key in massive internet of things, lower power network and cheaper sensors will set the stage for the internet of things to scale up, enabling such use cases as precision irrigation of field crops, monitoring of large herds of livestock, and trucking of the use and performance of remote buildings and large fleets of machinery.