无线传感器网络在农作物环境信息监测中的应用

传感器已经被广泛的应用于工业、军事等方面。由传感器节点构成的无线网络也已经成为现今研究的热门问题。无线传感器网络在农业中尤其是在农作物信息检测中的运用是将智能化、自动化应用于农业中的最好的手段之一,而选择良好的协议标准也将会是解决问题的关键。     

无线传感器网络在土壤肥力监测中的应用

在简要介绍无线传感器网络的结构、特点和优势的基础上,针对我国农业生产活动的特点,提出在农田土壤肥力监测领域应用无线传感器网络的方案和思路,为无线传感器网络在农业土壤肥力监测中的应用拓宽思路,争取实现把无线传感器网络技术与土壤肥力监测相结合,达到提高土壤肥力的目标。     

无线传感器网络在农业生产中的应用

无线传感器网络是近年兴起的新兴技术。本文综述了无线传感器网络的节点构成、特点,以及当前在农业领域的应用,并提出了在农业领域应用的新思路。     

FCA在无线传感器网络中的应用

FCA(Form al ConceptAnalysis)是一种数据分析、知识发现、信息管理的方法。无线传感器网络是一种全新的技术。本文在系统介绍无线传感器网络的特点、形式概念分析和概念格的基础上,提出了用最低的能量消耗来监控最多的区域以延长无线传感器网络寿命的主要措施。     

无线传感器网络在农业信息监控系统中的应用

提出一种公共无线通信网络与无线传感器网络融合的远程监控系统,介绍系统的体系结构,重点阐述系统的结构组成和工作过程,通过在农业中的应用表明系统符合远程监控的发展趋势。     

无线传感器网络在林火监测中应用

将无线传感器网络结合加拿大林火天气指数（ FWI）系统对森林火灾进行预测和实时监测。使用大范围布置的温湿度传感器结合自动防火气象站组成无线传感器网络,对广大林区作细粒度的数据采集,进而准确计算FWI系统的6个指数,对火灾发生的潜在风险以及火灾的强度和规模做出预测和评估,并依据细小可燃物湿度码（ FFMC）调整传感器节点的数据采集频率,对林火进行实时监测和识别。测试结果表明本系统可以有效地节约能耗,缩短林火的发现时间。     

无线传感器网络在农畜产品生产环节监测中的应用研究

简述了无线传感器网络的体系结构、节点设计,以及在农畜产品生产过程中的应用研究现状,在蔬菜大棚温湿度监测、禽畜称重喂食监测等农畜生产领域应用无线传感器网络的案例.研究团队根据实际应用情况,总结出无线传感器网络在应用过程中存在的一些问题,为无线传感器网络在食品生产过程环节的监测应用拓宽思路.     

无线传感器网络在农业中的应用进展

结合无线传感器网络在农业应用中的实际需要,对无线传感器网络技术在温室、灌溉、禽畜养殖和病虫害防治中的研究现状作了简要综述,指出现今无线传感器网络技术中亟需解决的问题,并对其未来的发展趋势作了展望。     

基于无线传感器网络的农业精量灌溉系统设计

阐述了我国农业领域用水资源紧缺的现状和实施精量灌溉的意义,从无线传感器网络的系统结构、路由协议、成本控制等方面设计了基于无线传感器网络的农业精量灌溉系统,对实现无线传感器网络技术和农业灌溉技术相结合,达到精量灌溉的目标,进而提高水资源利用率,缓解水资源紧张问题进行了探索。     

无线传感器网络在现代农业中的应用

阐述了无线传感器网络在现代农业中应用的优势、研究现状、应用前景以及应用时需注意的关键问题。     

基于ZigBee无线传感器网络的森林环境监测系统

设计了一种基于ZigBee无线传感器网络的森林环境监测系统;描述了该系统的构成原理与整体结构,以及基于CC2430芯片的传感器节点和网关的硬件设计和系统软件工作流程.采用的星—簇首—路由的拓扑结构,具有低成本、易于部署、使用寿命长等优点.     

ZigBee-based wireless sensor network localization for cattle monitoring in grazing fields

This paper presents the design of a localization scheme in wireless sensor networks (WSN) for cattle monitoring applications in grazing fields. No additional hardware was required for distance estimation since they were performed using the link quality indication (LQI), which is a standard feature of the ZigBee protocol. The ratiometric vector iteration (RVI) algorithm was implemented and modified to work with LQI measurements instead of the usual received signal strength indication (RSSI). Experimental results show acceptable localization performance given the requirements of usual cattle monitoring applications at low cost and low power consumption.     

无线局域网组成及协议的研究

随着无线局域网技术的迅速发展,其应用也越来越广泛,本文论述了无线局域网的组成以及无线局域网的协议.     

A wireless sensor network for precision viticulture: The NAV system

In the last decade, wireless technologies have been increasingly applied in precision agriculture. Wireless monitoring systems in particular have been used in precision viticulture in order to understand vineyard variability, and therefore suggest appropriate management practices for improving the quality of the wines.The NAV (Network Avanzato per il Vigneto – Advanced Vineyard Network) system is a wireless sensor network designed and developed with the aim of remote real-time monitoring and collecting of micro-meteorological parameters in a vineyard. The system includes a base agrometeorological station (Master Unit) and a series of peripheral wireless nodes (Slave Units) located in the vineyard. The Master Unit is a typical single point monitoring station placed outside the vineyard in a representative site to collect agrometeorological data. It utilizes a wireless technology for data communication and transmission with the Slave Units and remote central server. The Slave Units are multiple stations placed in the vineyard and equipped with agrometeorological sensors for site-specific environmental monitoring, which store and transmit data to the Master Unit. Software was developed for setup and configuration functionality. A graphical user interface operating on the remote central server was implemented to collect and process data and provide real-time control. The devices were tested in a three-step process: hardware functionality and data acquisition, energy consumption and communication. The NAV system is a complete monitoring system that gave flexibility for planning and installation, which fully responded to the objectives of the work in terms of energy efficiency and performance.     

FPGA-based wireless smart sensor for real-time photosynthesis monitoring

Photosynthesis is considered the most important physiological function because it constitutes the main biomass entrance for the planet and consequently it permits the continuance of life on earth. Therefore, accurate photosynthesis measurement methods are required to understand many photosynthesis-related phenomena and to characterize new plant varieties. This project has been carried out to cover those necessities by developing a novel FPGA-based photosynthesis smart sensor. The smart sensor is capable of acquiring and fusing the primary sensor signals to measure temperature, relative humidity, solar radiation, CO₂, air pressure and air flow. The measurements are used to calculate net photosynthesis in real time and transmit the data via wireless communication to a sink node. Also it is capable of estimating other response variables such as: carbon content, accumulated photosynthesis and photosynthesis first derivative. This permits the estimation of carbon balance and integrative and derivative variables from net photosynthesis in real time due to the FPGA processing capabilities. In addition, the proposed smart sensor is capable of performing signal processing, such as average decimation and Kalman filters, to the primary sensor readings so as to decrease the amount of noise, especially in the CO₂ sensor while improving its accuracy. In order to prove the effectiveness of the proposed system, an experiment was carried out to monitor the photosynthetic response of chili pepper (Capsicum annuum L.) as case of study in which photosynthetic activity can successfully be observed during the excitation light periods. Results revealed useful information which can be utilized as new tool for precision agriculture by estimating the aforementioned variables and also the derivative and integrative new indexes. These indexes can be utilized to estimate carbon accumulation over the crop cycle and fast derivative photosynthesis changes in relation to the net photosynthesis measurement which can be utilized to detect different stress conditions in the crops, permitting growers to apply a correction strategy with opportunity.     

田间作物信息监测技术的研究现状与展望

利用田间监测技术采集作物信息,可以实时获取田间作物的生长情况,并做出相应决策,对提高作物的产量和品质有重要作用。针对依赖于人工采样测量的传统作物田间监测方法存在效率低下、主观性强、特征单一等缺点,田间作物的快速监测、信息获取及分析技术成为了当下的研究热点。本文从采集目标、监测平台以及不同数据(信息)分析方法 3个方面分析了国内外田间作物监测技术的研究现状,总结了目前我国田间作物监测中存在的问题,并对今后在监测技术创新、信息解析技术、数据(信息)标准化与共享化,以及基础设施及推广方面的发展提出了建议,以期为我国田间作物监测技术的创新和产业发展提供参考。     

无公害农产品（种植业）认证信息登录系统设计思路与应用实践

介绍无公害农产品(种植业)认证信息登录系统的设计与应用,并对系统的各功能模块进行了说明。系统在实际应用中,能够保障信息传输的高效和安全,并对信息数据进行标准化和动态统计分析,有效地提高信息传输能力和利用率。对目前系统的不足之处提出了进一步完善的建议。     

基于无线多媒体传感器网络的森林病虫害监测系统

卫星遥感理论及技术是近30年来应用在森林病虫害监测领域的主要手段,产生了大量的理论思想和技术方法。在分析森林病虫害监测的判定、评价指标的基础上,提出一种新颖的、基于无线多媒体传感器网络的森林病虫害监测预警系统的解决方案,并重点讨论无线多媒体传感器网络的硬件构成、路由算法的设计、图像数据包的可靠传输机制、传输拥塞控制策略、图像分类与比对、节点部署等关键问题,最后给出已经完成及正在开展的工作内容。