Computer vision is a field that involves making a machine “see”.This technology uses a camera and computer instead of the human eye to identify,track and measure targets for further image processing.With the develop...Computer vision is a field that involves making a machine “see”.This technology uses a camera and computer instead of the human eye to identify,track and measure targets for further image processing.With the development of computer vision,such technology has been widely used in the field of agricultural automation and plays a key role in its development.This review systematically summarizes and analyzes the technologies and challenges over the past three years and explores future opportunities and prospects to form the latest reference for researchers.Through the analyses,it is found that the existing technology can help the development of agricultural automation for small field farming to achieve the advantages of low cost,high efficiency and high precision.However,there are still major challenges.First,the technology will continue to expand into new application areas in the future,and there will be more technological issues that need to be overcome.It is essential to build large-scale data sets.Second,with the rapid development of agricultural automation,the demand for professionals will continue to grow.Finally,the robust performance of related technologies in various complex environments will also face challenges.Through analysis and discussion,we believe that in the future,computer vision technology will be combined with intelligent technology such as deep learning technology,be applied to every aspect of agricultural production management based on large-scale datasets,be more widely used to solve the current agricultural problems,and better improve the economic,general and robust performance of agricultural automation systems,thus promoting the development of agricultural automation equipment and systems in a more intelligent direction.展开更多
Objet Linking and Embedment for Process Control(简称OPC,以下同。意为用于过程控制的对象连接与嵌入)技术提供了灵活性和可扩展性,利用OPC技术实施船舶信息应用集成将显著简化集成难度,降低开发工作量。阐述基于OPC技术的船舶信息...Objet Linking and Embedment for Process Control(简称OPC,以下同。意为用于过程控制的对象连接与嵌入)技术提供了灵活性和可扩展性,利用OPC技术实施船舶信息应用集成将显著简化集成难度,降低开发工作量。阐述基于OPC技术的船舶信息集成体系结构,分析了实现船舶信息集成中用到的OPC技术及其适用环境,并将该方法应用于集成平台管理系统(Integrated Platform Management System,简称IPMS,以下同)。展开更多
基金The work in this paperwas supported by the National Natural Science Foundation for Young Scientists of China(31801804)the Guangxi Innovation-Driven Development Special Fund Project(GuikeAA18242011)+1 种基金the Key Research and Development Program of Nanning(20192065)the Fund Project of the Key Laboratory of Integrated Pest Management on Crops in South China,Ministry of Agriculture and Rural Area,P.R.China(SCIPM2018-05).
文摘Computer vision is a field that involves making a machine “see”.This technology uses a camera and computer instead of the human eye to identify,track and measure targets for further image processing.With the development of computer vision,such technology has been widely used in the field of agricultural automation and plays a key role in its development.This review systematically summarizes and analyzes the technologies and challenges over the past three years and explores future opportunities and prospects to form the latest reference for researchers.Through the analyses,it is found that the existing technology can help the development of agricultural automation for small field farming to achieve the advantages of low cost,high efficiency and high precision.However,there are still major challenges.First,the technology will continue to expand into new application areas in the future,and there will be more technological issues that need to be overcome.It is essential to build large-scale data sets.Second,with the rapid development of agricultural automation,the demand for professionals will continue to grow.Finally,the robust performance of related technologies in various complex environments will also face challenges.Through analysis and discussion,we believe that in the future,computer vision technology will be combined with intelligent technology such as deep learning technology,be applied to every aspect of agricultural production management based on large-scale datasets,be more widely used to solve the current agricultural problems,and better improve the economic,general and robust performance of agricultural automation systems,thus promoting the development of agricultural automation equipment and systems in a more intelligent direction.
文摘Objet Linking and Embedment for Process Control(简称OPC,以下同。意为用于过程控制的对象连接与嵌入)技术提供了灵活性和可扩展性,利用OPC技术实施船舶信息应用集成将显著简化集成难度,降低开发工作量。阐述基于OPC技术的船舶信息集成体系结构,分析了实现船舶信息集成中用到的OPC技术及其适用环境,并将该方法应用于集成平台管理系统(Integrated Platform Management System,简称IPMS,以下同)。
