共查询到17条相似文献,搜索用时 52 毫秒
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李军辉 《北京农业职业学院学报》2020,34(3):44-50
以基质培养的绿色植物所在的半封闭阳台系统为研究对象,设计基于 Arduino Uno WIFI +机智云的远程环境控制系统。系统通过传感器实时采集温度、湿度、光照等环境参数,通过 WIFI无线网络上传机智云服务器。用户通过手机等移动终端下载应用APP,访问机智云服务器,实时了解系统的环境参数,通过远程启动灌溉、补光、关窗等操作调节环境参数。系统采用无线连接的 WIFI +云服务器的形式,不需布线和支付移动费用 ,整个硬件系统经济实用,可应用在城市居民的阳台植物种植上。 相似文献
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夏季时节,气温较高,且持续时间较长,掌握家庭阳台栽培盆花的湿度变化规律特点及合理养护管理措施,是阳台栽培花的重要环节。 相似文献
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采用新1代智能手机为应用平台,以JAVA为开发语言,以SQL Server 2005为数据库,集合ASP,GPRS等技术研制了适合养护道班工人使用的智能手机干线公路养护数据采集系统.结果表明,本系统可实现无线实时数据的采集和上传,从而为道路信息系统提供数据基础,有助于加快养护管理部门制订养护方案和决策支持. 相似文献
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果园环境远程监测系统构建与设计 总被引:1,自引:0,他引:1
为了实时获取果园环境信息,及时科学指导生产,设计了1 种果园环境信息远程监测系统。该系统主要基于LoRa 技术和GPRS 无线传输技术,通过布置在园区的传感器进行数据采集,LoRa 模块负责传感器数据汇集,GPRS 模块将数据进行远程传输。在用户中心开发了基于B/S 结构的远程监测系统,实现了数据信息的实时及历史查询,数据报表及变化曲线的导出等功能。系统采用低功耗设计,集采集、监视、环境信息获取于一体,适用于果园环境的大范围、远距离监测。 相似文献
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温室环境无线远程监控系统的优化解决方案 总被引:13,自引:0,他引:13
针对农业对象具有的多样性、多变性、以及偏僻分散等特点,提出了一种基于GPRS和WEB技术的远程数据采集和信息发布系统方案。首先,通过RS-485总线与数字传感器连接,并与具有嵌入式系统和TCP/IP协议的现场监控模块构成监控系统;其次,通过GPRS建立现场监控系统与互联网的连接,将实时采集信息发送到WEB数据服务器。系统软件核心技术系MS VB.NET和ASP.NET开发而成,构建了基于B/S(Browser/Server)的服务模式,只要通过浏览器不仅可实时浏览监测数据,而且能进行历史数据的查询。实验表明该设计方案非常适合分散远距离条件下农业环境信息的获取、传输与应用。 相似文献
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Big data with its vast volume and complexity is increasingly concerned, developed and used for all professions and trades. Remote sensing, as one of the sources for big data, is generating earth-observation data and analysis results daily from the platforms of satellites, manned/unmanned aircrafts, and ground-based structures. Agricultural remote sensing is one of the backbone technologies for precision agriculture, which considers within-field variability for site-specific management instead of uniform management as in traditional agriculture. The key of agricultural remote sensing is, with global positioning data and geographic information, to produce spatially-varied data for subsequent precision agricultural operations. Agricultural remote sensing data, as general remote sensing data, have all characteristics of big data. The acquisition, processing, storage, analysis and visualization of agricultural remote sensing big data are critical to the success of precision agriculture. This paper overviews available remote sensing data resources, recent development of technologies for remote sensing big data management, and remote sensing data processing and management for precision agriculture. A five-layer-fifteenlevel (FLFL) satellite remote sensing data management structure is described and adapted to create a more appropriate four-layer-twelve-level (FLTL) remote sensing data management structure for management and applications of agricultural remote sensing big data for precision agriculture where the sensors are typically on high-resolution satellites, manned aircrafts, unmanned aerial vehicles and ground-based structures. The FLTL structure is the management and application framework of agricultural remote sensing big data for precision agriculture and local farm studies, which outlooks the future coordination of remote sensing big data management and applications at local regional and farm scale. Keywords: big data remote sensing agricultural information precision agriculture > Received: 08 September 2017 >>Accepted: > Fund: This research was financially supported by the funding appropriated from USDA-ARS National Program 305 Crop Production and the 948 Program of Ministry of Agriculture of China (2016-X38). Corresponding Authors: Correspondence Yanbo Huang, Tel: +1-662-686-5354, Fax: +1-662-686-5422, E-mail: yanbo.huang@ars.usda.gov > ServiceE-mail this article Add to citation manager E-mail Alert RSS>Articles by authors Yanbo HuangCHEN Zhong-xinYU TaoHUANG Xiang-zhiGU Xing-faWe recommendRecent progress and future prospect of digital soil mapping: A reviewZHANG Gan-lin1, 2, LIU Feng1, SONG Xiao-dong1>, Journal of Integrative Agriculture>, 2017>Genomics-assisted breeding - A revolutionary strategy for crop improvementLENG Peng-fei1, Thomas Lübberstedt2, XU Ming-liang1>, Journal of Integrative Agriculture>, 2017>Air pollution, food production and food security: A review from the perspective of food systemFeifei Sun1, DAI Yun2, Xiaohua Yu1>, Journal of Integrative Agriculture>, 2017>Future livestock breeding: Precision breeding based on multi-omics information and population personalizationYANG Ya-lan*, ZHOU Rong*, LI Kui>, Journal of Integrative Agriculture>, 2017>The prospects for China's food security and imports: Will China starve the world via imports?HUANG Ji-kun1, 2*, WEI Wei2, 3, CUI Qi1, XIE Wei1>, Journal of Integrative Agriculture>, 2017>An Edge-assisted, Object-oriented Random Forest Approach for Refined Extraction of Tea Plantations Using Multi-temporal Sentinel-2 and High-resolution Gaofen-2 ...>Journal of Geodesy and Geoinformation Science>, 2023>Remote Sensing for Ecosystem Services and Urban Sustainability>John C. Trinder>, Zeitschrift für philosophische Forschung>, 2021>A New Generation of Intelligent Mapping and Remote Sensing Scientific Test Satellite Luojia-3 01>Deren LI>, Journal of Geodesy and Geoinformation Science>, 2023>Development status and trends of intelligent control technology in unmanned farms>Zhenjie QIAN>, Journal of Intelligent Agricultural Mechanization>, 2023>Development of the Internet of smart orchard Things based on multi-sensors and LoRa technology>Pingchuan Zhang>, Intelligent and Converged Networks>, 2023>Powered by>>>Privacy policyGoogle Analytics settings
Cite this article:
Yanbo Huang, CHEN Zhong-xin, YU Tao, HUANG Xiang-zhi, GU Xing-fa. 2018. Agricultural remote sensing big data: Management and applications. Journal of Integrative Agriculture, 17(09): 1915-1931. 相似文献15.
为满足高频次获取西瓜植株种植土壤中湿度和其他养分含量的需求,同时解决西瓜温室大棚内由于盆栽种植密集、空间狭小所带来的人工采集数据劳动强度大、作业环境恶劣等问题,设计了一种电动自走式土壤信息采集装置。该装置的移动平台可沿预设轨道到达盆栽相应位置,多关节机械手模拟人工检测方式伸至西瓜盆栽土壤中,对湿度数据自动采集。利用设计的采集装置整体结构以及多关节机械臂机构、传感器检测部件的结构,构建了该装置的控制系统和通信系统,并进行了西瓜盆栽土壤湿度采集试验。结果表明,该采集装置稳定行走的最大速度为0.24 m/s,多关节机械臂搭载传感器能精确插入盆栽土壤中,其水平方向定位误差最大值为11 mm,装置检测盆栽的漏检率为0.92%,采集土壤信息的效率为3.2盆/min,作业流畅、性能稳定,采用循环轮检方式可替代人工完成所有盆栽土壤信息的自动采集工作。研究表明,该采集装置相比人工采集提高了盆栽信息采集的效率,也实现了高频次、高通量采集盆栽土壤信息的要求。 相似文献
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LU Qi-qi SONG Yuan-feng PAN Ke-qing LI Yun TANG Ming-xin ZHONG Guo-hua LIU Jie 《农业科学学报》2022,21(8):2345-2356
Agricultural sustainability has benefited from the broad adoption of conservation agriculture(CA) practices for decades,in which the reduction of mechanical disturbances to soil(also known as reduced tillage, RT) is one of the most essential principles for CA implementation. Many studies have recommended the advantages of CA practices in the promotion of biodiversity, but the integrated impacts on crop productivity and biodiversity remain unclear. Since CA has been applied in rice production in ... 相似文献

