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[学术文献 ] 大数据在农业物联网中的应用研究 进入全文
CNKI
物联网是信息技术高度发展下的时代产物，应用互联网、云计算等技术方式进行大数据信息集成、分析，并用于实际问题的归纳总结与解决，是技术手段推动产业发展的重要举措。农业物联网的产生，将农业作物自然生长特点与信息技术数据化有效融合，通过农业数据的精准采集、辨别、分析、总结，对农业生产举措进行有效调整，用以促进农业现代化进程的发展。实践证明，发达的现代化农业生产，必须与农业互联网络相结合，充分利用信息化技术，引入大数据技术来推动农业物联网的发展。大数据在农业物联网的建设中扮演着关键的角色，发展农业的地区网速相对较慢，如果没有大数据的支持，农业物联网发展的速度也会很慢，同时在当前国内农业物联网建设中，仍然存在很多问题和需要改进的地方。
[学术文献 ] 农业大数据背景下的“互联网+智慧农机”分析 进入全文
CNKI
随着互联网与科技的不断发展进步，我国现代互联网的研究领域逐渐开始朝着智能化方向发展，因此智能化技术逐渐应用在各个领域中。通过对中国农业大数据下农业机械发展的分析，总结了大数据在智慧农机系统中的应用，并对如何加快智慧农机大数据应用提出建议。
[学术文献 ] 大数据时代农村经济发展的瓶颈及突破 进入全文
CNKI
农村经济振兴是发展三农的重中之重,农业产业的发展需要创新驱动。大数据与农村经济的协同发展,是一种趋势也是一种探索。目前农村仍存在基础设施不完善、法律体系不健全、农民参与度和数据共享度低等一系列问题。新形势下,迫切需要借助大数据手段进行突破,努力培育农业农村经济发展新动能。促进大数据与农村经济全面深度融合,实现农村经济优质高效的可持续发展,需要政府的资金支持、国家立法的保障以及农民参与度的提高。
[学术文献 ] 农业大数据分析平台建设的研究 进入全文
CNKI
随着云计算、物联网及信息技术的飞速发展,社会中出现各种各样的数据,且其数量还在呈几何倍数增长,这也是大数据时代的重要特征。我国是农业大国,农业大数据的建立和发展成为现代农业发展的战略需求,相关的数据分析平台也成为农业大数据服务农业的重要载体。基于此,文章从农业大数据的概念出发,分析农业大数据分析平台特点与当前发展现状,对如何建设和开发农业大数据分析平台的相关事项进行研究,为设计精确的农业大数据分析平台提供一定的参考。
[学术文献 ] Applications of IoT for optimized greenhouse environment and resources management 进入全文
WOS
The role of Internet-of-Things (IoT) in precision agriculture and smart greenhouses has been reinforced by recent R&D projects, growing commercialization of IoT infrastructure, and related technologies such as satellites, artificial intellige nce, sensors, actuators, uncrewed aerial vehicles, big data analytics, intelligent machines, and radio-frequency identification devices. Even though the integration of intelligent technologies offers unlimited potential in precision commercial agriculture, optimal resource management remains a challenge considering that IoT infrastructure is unevenly distributed across the world and concentrated in high-income countries. The utilization of IoT technologies in smart greenhouses often involves a tradeoff between the cost of agricultural production, environmental conservation, ecological degradation, and sustainability. The installation of IoT infrastructure is capital-intensive and often translates to higher energy demand, that elevates the risk for climate change. The widespread use of IoT sensors and networks also increases new challenges in the management of electronic waste, depletion of finite resources, and destruction of fragile ecosystems, resulting in climate change. the integration of IoT systems in greenhouses would be augmented by the global deployment of advanced 5G technology and Low-Earth Orbit (LEO) constellation broadband internet with low latency and high speeds. Intelligent application of agrochemicals could yield significant savings ($500/acre or more), while need-based irrigation and fertilizer application would help improve crop yields. Globally, the deployment of IoT infrastructure would yield about $500 billion of added value to the GDP by 2030. The forecasted economic benefits affirm that the applications of IoT for optimized greenhouse environment and resources management were sustainable, and any potential risks are incomparable to the long-term benefits in commercial agriculture. The review article contributes new insights on the role of IoT in agriculture 4.0, the challenges, and future prospects for developing nations, which lacked the resources to invest in precision agriculture technologies.
[学术文献 ] Developing an IoT-Enabled Cloud Management Platform for Agricultural Machinery Equipped with Automatic Navigation Systems 进入全文
WOS
Smart farming uses advanced tools and technologies such as intelligent agricultural machines, high-precision sensors, navigation systems, and sophisticated computer systems to increase the economic benefits of agriculture and reduce the associated human effort. With the increasing demands of individualized farming operations, the internet of things is a crucial technique for acquiring, monitoring, processing, and managing the agricultural resource data of precision agriculture and ecological monitoring domains. Here, an internet of things-based system scheme integrating the most recent technologies for designing a management platform for agricultural machines equipped with automatic navigation systems is proposed. Various agricultural machinery cyber-models and their corresponding sensor nodes were constructed in a pre-production phase. Three key enabling technologies-multi-optimization of agricultural machinery scheduling, development of physical architecture and software, and integration of the controller-area-network with a mobile network-were addressed to support the system scheme. A demonstrative prototype system was developed and a case study was used to validate the feasibility and effectiveness of the proposed approach.
