1 Imagine a world where animals can text us their whereabouts,or maybe even their dinner plans.Sounds wild,right?Well,that's the idea behind the Internet of Animals(IoA),a cutting⁃edge concept that's bringing ...1 Imagine a world where animals can text us their whereabouts,or maybe even their dinner plans.Sounds wild,right?Well,that's the idea behind the Internet of Animals(IoA),a cutting⁃edge concept that's bringing the digital revolution to the animal kingdom.展开更多
虫害是造成农作物减质减产的最主要原因,引入新一代信息技术可以及时有效防治虫害。本文基于农业物联网(Internet of Agriculture,IOA)技术与YOLOX-s目标检测算法设计并搭建了一套农作物虫害监测系统。系统整体框架由信息感知层、信息...虫害是造成农作物减质减产的最主要原因,引入新一代信息技术可以及时有效防治虫害。本文基于农业物联网(Internet of Agriculture,IOA)技术与YOLOX-s目标检测算法设计并搭建了一套农作物虫害监测系统。系统整体框架由信息感知层、信息传输层、信息服务层和系统应用层组成,选用YOLOX-s目标检测算法实现虫害识别功能。实验结果表明,该算法提高了农作物虫害监测的识别准确率。本文所研究的系统有助于农作物虫害防治工作,为智能化虫害防治提供重要参考。展开更多
Guangdong Province,as one of China’s fast-developing regions,an important manufacturing base,and one of the national first round low-carbon pilots,still faces many challenges in controlling its total energy consumpti...Guangdong Province,as one of China’s fast-developing regions,an important manufacturing base,and one of the national first round low-carbon pilots,still faces many challenges in controlling its total energy consumption.Coal dominates Guangdong’s energy consumption and remains the major source of CO_(2).Previous research on factors influencing energy consumption has lacked a systematic analysis both from supply side(factors related to scale,structure,and technologies)and demand side(investment,consumption,and trade).This paper develops the logarithmic mean Divisia index(LMDI)method that focuses on the supply side and the structural decomposition analysis(SDA)method that focuses on the demand side to systematically identify the key factors driving coal consumption in Guangdong.Results are as follows:(1)Supply side analysis indicates that economic growth has always been the most important factor driving coal consumption growth,while energy intensity is the most important constraining factor.Industrial structure and energy structure have different impacts on coal consumption control during different development phases.(2)Demand side analysis indicates that coal is consumed mainly for international exports,inter-provincial exports,fixed capital formation,and urban household.(3)Industries with the fastest coal consumption growth driven by final demand have experienced significant shifts.Increments in industrial sectors were mainly driven by inter-provincial exports and urban household consumption in recent years.(4)Research on energy consumption in subnational regions under China’s new development pattern of“dual circulation”should not only focus on exports in the context of economic globalization but also pay more attention to inter-provincial exports on the background of strengthened interregional connections.展开更多
文摘1 Imagine a world where animals can text us their whereabouts,or maybe even their dinner plans.Sounds wild,right?Well,that's the idea behind the Internet of Animals(IoA),a cutting⁃edge concept that's bringing the digital revolution to the animal kingdom.
文摘虫害是造成农作物减质减产的最主要原因,引入新一代信息技术可以及时有效防治虫害。本文基于农业物联网(Internet of Agriculture,IOA)技术与YOLOX-s目标检测算法设计并搭建了一套农作物虫害监测系统。系统整体框架由信息感知层、信息传输层、信息服务层和系统应用层组成,选用YOLOX-s目标检测算法实现虫害识别功能。实验结果表明,该算法提高了农作物虫害监测的识别准确率。本文所研究的系统有助于农作物虫害防治工作,为智能化虫害防治提供重要参考。
基金National Key Research and Development Program(2019YFB2103101)Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)(GML2019ZD0301)+2 种基金GDAS Special Project of Science and Technology Development(2020GDASYL-20200102002)GDAS Special Project of Science and Technology Development(2020GDASYL-20200301003)National Natural Science Foundation of China(41501144)。
文摘Guangdong Province,as one of China’s fast-developing regions,an important manufacturing base,and one of the national first round low-carbon pilots,still faces many challenges in controlling its total energy consumption.Coal dominates Guangdong’s energy consumption and remains the major source of CO_(2).Previous research on factors influencing energy consumption has lacked a systematic analysis both from supply side(factors related to scale,structure,and technologies)and demand side(investment,consumption,and trade).This paper develops the logarithmic mean Divisia index(LMDI)method that focuses on the supply side and the structural decomposition analysis(SDA)method that focuses on the demand side to systematically identify the key factors driving coal consumption in Guangdong.Results are as follows:(1)Supply side analysis indicates that economic growth has always been the most important factor driving coal consumption growth,while energy intensity is the most important constraining factor.Industrial structure and energy structure have different impacts on coal consumption control during different development phases.(2)Demand side analysis indicates that coal is consumed mainly for international exports,inter-provincial exports,fixed capital formation,and urban household.(3)Industries with the fastest coal consumption growth driven by final demand have experienced significant shifts.Increments in industrial sectors were mainly driven by inter-provincial exports and urban household consumption in recent years.(4)Research on energy consumption in subnational regions under China’s new development pattern of“dual circulation”should not only focus on exports in the context of economic globalization but also pay more attention to inter-provincial exports on the background of strengthened interregional connections.
