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首页> 外文会议>2018 international conference on image and video Processing, and artificial intelligence >Remote sensing Big AgriData for food availability
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Remote sensing Big AgriData for food availability

机译：遥感Big AgriData来获取食物

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In the field of agriculture, satellite imagery has revolutionized the development of remote sensing in food production, food security and supply chain management. However, existing solutions are too limited to solve all the problems of remote sensing big AgriData completely mainly because they are not designed to permit collaboration among stakeholders to support sharing of data and farming operations in general and create useful knowledge databases. Access to real-time AgriData, real-time forecasting and tracking of physical items will significantly change farm management and operations and in combination with IoT development will lead in the autonomous operation of a farm. Our focus is to identify, explore and exploit the added value the remote sensing big AgriData provides in food security context. In this sense, a number of cases related to cropland mapping context are reviewed and discussed, concentrating on their suitability in mapping crop types, showing the utilization of cloud computing in combination with the techniques and methods for automated cropland mapping as well as the openness of remote sensing big AgriData sources.
机译：在农业领域，卫星图像彻底改变了食品生产，食品安全和供应链管理中遥感的发展。但是，现有解决方案太局限了，无法完全解决大型农业AgriData的所有问题，主要是因为它们的设计目的不是允许利益相关者之间的协作来支持数据共享和总体上的农业运营并创建有用的知识数据库。对实时AgriData的访问，对物理项目的实时预测和跟踪将大大改变农场的管理和运营，并且与物联网开发相结合将导致农场的自主运营。我们的重点是识别，探索和利用遥感大型AgriData在粮食安全环境中提供的附加值。从这个意义上讲，对与耕地制图环境有关的许多案例进行了审查和讨论，着重于它们在绘制作物类型中的适用性，显示了云计算与自动耕地制图技术和方法相结合的利用，以及对农业耕地制图的开放性。遥感大型AgriData来源。

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