共查询到18条相似文献,搜索用时 140 毫秒
1.
无线数据通信方式具有设计简便、低成本、可靠性高等优点,能够为农业空间分布信息获取、处理、控制过程的数据传输提供优化解决方案。依据无线数据通信范围和农业应用任务方式,结合国内外典型案例,分别介绍作业数据远程服务、农用车辆调度管理方面的无线广域应用,大型喷灌机灌溉管理、农场作业管理方面的无线局域应用,以及在智能农机系统部件通信、农业机器人操控、农产品及禽畜识别管理方面的无线个人区域应用,分析了目前最热门的无线传感器网络技术在农业环境监测和动态跟踪监测方面的研究进展。 相似文献
2.
《云南热作科技》2009,(3):45-45
7月14日,农业部与中国移动在京签署共同推进农业农村信息化战略合作框架协议,双方将在农业产业信息化改造、农业生产经营信息服务、农村信息服务站建设、现代农业示范区信息技术应用、农业生产指挥调度系统建设等方面展开合作。根据协议,双方将按照“政企联动、着眼长远、共同发展、实现共赢”的原则,以共享优势资源、提高工作效率、共同服务“三农”为宗旨,充分发挥市场机制作用,实现用先进的信息技术改造传统农业,推进农业生产经营信息化,促进现代农业发展;推动信息技术在农村的普及应用,加快农业农村信息化进程,培育有文化、懂技术、会经营的新型农民,促进社会主义新农村建设;提高农业电子政务服务的广度和深度,降低行政成本, 相似文献
3.
4.
简述环境监测机构实验室资质认定要素和建立实验室质量体系目的、方针、目标及质量体系的编制、宣贯、运行和改进,提出环境监测机构实验室运行与管理的重点,以保障实验室资质认定工作取得成功。 相似文献
5.
随着社会的信息化、科技化和数字化的加深。人们对信息的传输速度和有效性要求越来越高。传感器出现之后,为人们的生活带来了许多的便利。信息技术的飞速发展,推动了无线技术的进步,无线传感技术逐渐形成。与此同时,结合现代社会绿色健康的生活目标,我国茶叶生产领域提出了创建生态茶园的创新思路,这为茶叶生产开辟出一片新大陆。本文基于温州生态茶园的建设与设计,叙述了无线传感技术在生态茶园智能设计中的应用,深入研究了以ARM茶园防冻技术、茶园无线传感环境监测技术、无线传感滴灌技术。以期实现无线传感技术与智能生态茶园建设的融合。 相似文献
6.
7.
乌拉圭回合农业协议生效以来,世界各国相继削减了农产品关税,调整农业政策,本文略述春近况及其对中国热区农业可能产生的影响。 相似文献
8.
9.
应俄罗斯农业科学院的邀请,2001年8月23~30日中国农业科学院甜菜研究所所长陈连江研究员和科研处副处长许群研究员赴俄罗斯考察。在俄罗斯期间,先后访问了俄罗斯农业科学院和全俄А.Л.马兹鲁莫夫甜菜糖业研究所,会见有关甜菜科学家,参观了甜菜育种和生物技术实验室。中国农业科学院甜菜研究所和全俄А.Л.马兹鲁莫夫甜菜糖业研究所均隶属两国农业科学院,有许多共性和互补性。通过这次访问,双方本着“互利互惠、共同发展”的目的,签署了两所今后10年科技合作协议。协议规定,为配制甜菜单粒杂交种,双方将交换MS-… 相似文献
10.
11.
热带作物田间生长环境信息包括风速、风向、光照强度、空气湿度、土壤湿度、CO2浓度、降雨量等数据,这些环境信息对作物的生长环境调控和作物田间科学管理非常重要。本研究围绕热带瓜果哈密瓜田间环境信息采集这一问题,研究哈密瓜田间生产环境智能传感与检测关键技术。采用tiny210硬件核心板,利用安卓系统和Java语言进行编程,集成空气温湿度传感器、光照一体传感器、土壤湿度传感器、风向传感器、风速传感器,建立热带瓜果哈密瓜田间生产环境智能传感与检测系统,主要解决哈密瓜田间生长环境信息动态采集和数据管理,为田间生长环境调控提供参考数据。 相似文献
12.
13.
14.
Crop pests are a major constraint to the intensification of agricultural production in the tropics, with novel issues related to global change (climate, land use, biological invasions, etc.), food security and preservation of natural resources and biodiversity. A research, extension and education network called DIVECOSYS (Diversity of cropping systems and ecologically-based pest management in West Africa) was launched in 2010 to synergize applied research actions in response to growing concerns on the vulnerability of agricultural systems to pest management in West Africa. This scientific network brings together research and academic institutions, with expertise spanning a multidisciplinary perspective from biology and ecology to remote sensing, agronomy and integrated pest management. Its main scientific objective is to explore the potential of biodiversity and ecological processes such as pest regulation, enabling novel ecologically-based models for productive systems, reduction of pesticide use, and adaptation or resilience of farming systems in the face of environmental disruptions. From Northern Senegal to Southern Benin, the research group explores a wide range of ecoregions and socio-ecological contexts, including stakeholders and their objectives, land use and agricultural practices, and management of biodiversity for enhancing biological control. Main challenges to be turned into opportunities include (i) encouraging collaborations amongst researchers from different scientific fields, (ii) fostering interactive research and synergies among research institutions and among countries, and (iii) developing an ecological engineering approach for the design of sustainable agricultural systems for smallholder farmers. 相似文献
15.
研究基于3G混合网络和WIFI无线技术实现琯溪蜜柚果园移动视频监控系统。系统充分利用3种不同3G网络资源优势,在3G移动终端上实现了"任何时间、任何地点、任何终端"无缝式的无线监控系统,有效地弥补了传统网络视频监控的弱势,可为果园管理提供更高效、系统的解决方案,提高了农业生产效率和管理水平。 相似文献
16.
17.
农业转基因生物环境安全检测标准是农业转基因生物安全管理必不可少的技术保障.截至2021年1月,农业部/农业农村部共发布了农业转基因生物环境安全检测标准47项.本文对我国农业转基因生物环境安全检测标准体系现状进行初步总结,对国内外农业转基因生物环境安全检测标准的发展现状进行比较,探讨了今后一段时间内农业转基因生物环境安全... 相似文献
18.
In the field of agriculture, development of evaluation techniques for environmental changes is urgently required for the purpose of finding a balance between growth in agricultural productivity and environmental considerations. The habitat evaluation procedures (HEP) constitute one technique for habitat assessment. While HEP is widely applied to estimate both habitat quality and quantity in an environment, it appears to be necessary to develop an accurate habitat prediction model in order to evaluate environments precisely. In fact, habitat selection by fish is affected by complicated interaction between multiple environmental factors, which makes it difficult to relate physical environments to habitat preference. In the present study, we utilize artificial neural networks (ANNs), which are commonly applied to model complex systems, to predict the habitat selection of Japanese medaka (Oryzias latipes) in agricultural canals. Considering the essential vagueness of fish behavior, fuzzy membership functions are introduced into the input layer, which advances ANN to fuzzy neural network (FNN). In addition, symmetric triangular fuzzy numbers are employed to account for uncertainty in measurement errors and dispersions of physical environment. The FNN model precisely predicts the habitat preference of Japanese medaka in an agricultural canal, and the results show a good agreement between the calculated and observed habitat suitability indices (HSI). Finally, the habitat quality of two different reaches at the same point in time is compared using HEP, with a view of suitable habitat for Japanese medaka. 相似文献