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首页> 外文期刊>Research journal of science and technology >Security enabled UAVs for Tech-Agriculture monitoring rice crops using FIBOR architecture
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Security enabled UAVs for Tech-Agriculture monitoring rice crops using FIBOR architecture

机译：安全使无人机能够使用Fibor架构进行技术农业监测稻作物

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摘要

Unmanned Aerial Vehicles usage has significantly improved in all the sectors. Various industries are using drones as a platform for development with eco- nomic investment. Drastic advancement in design, flexibility, equipment and technical improvements has a great impact in creating airborne domain of IoT. Hence, drones have become a part of farming industry. Indian agriculture economy concentrates more on producing rice as this is considered as a staple food in various states. For increasing the production of rice sensors are equipped in the fields to track the water supply and humidity components. Whereas, identifying weeds, early stages of disease detection, recognizing failed crops, spraying fertilizers and continuous monitoring from bleats, locust and other dangerous insects are some of the technical collaboration with UAVs with respect farming sector. However, use of UAVs in real time environment involves many security and privacy challenges. In order to preserve UAVs from external vulnerabilities and hacking the collaborative environment requires a tough security model. In this proposed article a framework is implemented applying FIBOR security model on UAVs to suppress the threats from data hackers and protect the data in cloud from attackers. This proposed model enabled with drone technology provides a secured framework and also improves the crop yield by 15% by adapting a controlled network environment.
机译：无人驾驶飞行器在所有部门中的使用情况显着提高。各种行业正在使用无人机作为发展的平台，以获得生态投资。设计，灵活性，设备和技术改进的急剧进步对创建IOT的空气域具有很大的影响。因此，无人机已成为耕作行业的一部分。印度农业经济浓缩更多地生产大米，因为这被认为是各种州的主食。为了提高水稻传感器的生产，配备在田野中以跟踪供水和湿度部件。然而，鉴定杂草，疾病检测的早期阶段，识别失败的作物，喷洒肥料和融合的持续监测，蝗虫和其他危险昆虫是与尊重农业部门的无人机的技术合作。但是，在实时环境中使用无人机涉及许多安全和隐私挑战。为了从外部漏洞中保护无人机，并黑客协作环境需要一个艰难的安全模型。在这一提出的文章中，在UAV上实施了一个框架，以抑制来自数据黑客的威胁并保护来自攻击者的云中的数据。通过驱动器技术实现的这一提出的型号提供了安全的框架，并且通过调整受控网络环境，还通过15％提高了作物产量。

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