检索结果-南通市图书馆

Advanced Agrochem 2024年第2期3卷 115-125页

作者： Shivani Garg Nelson Pynadathu Rumjit Swapnila Roy Institute of Environmental Studies Kurukshetra University KurukshetraHaryana136119India Marian Centre for Advanced Research St.Mary's CollegeThrissurKerala680020India Lingayas Vidyapeeth(Deemed-to-be-University) FaridabadHaryana121002India

In the recent past,much nanotechnology research has been done in an effort to increase agricultural *** Green Revolution led to the careless use of pesticides and artiﬁcial fertilizers,which reduced soil biodiversity and led to the development of disease and insect *** article highlights the worldwide development and status of precision *** agriculture utilizes technologies and principles to manage spatial and temporal variability in agricultural production to improve crop performance and environmental *** precision agriculture(PA),information technology(IT)is used to make sure that crops and soil receive exactly what they require for optimal productivity and *** farming includes the use of hardware i.e.,a global positioning system(GPS)and geographic information system(GIS),different software of GIS,and traditional knowledge of agriculture management *** beneﬁts of precision agriculture can be seen in both the economic and environmental aspects of agricultural *** nanoparticles or nanochips can transport materials to plants in a nanoparticle-mediated manner and create sophisticated biosensors for precision *** fertilizers,insecticides,and herbicides can be nano encapsulated to provide exact doses to plants through a gradual,continuous release of nutrients and *** main topics included in this article are the variability of natural resources,variability management;administrative districts;the impact of precision farming technologies on farm proﬁtability and the environment;innovations in sensors,controls,and remote sensing,information management;trends in global application and acceptance of precision farming technologies;potential and possibilities of technology along with challenges in agricultural *** equipment and procedures based on nanotechnology have the ability to solve many of the issues in conventional agriculture and might tra

关键词： Precision agriculture smart agriculture Technology adoption Innovation in agriculture Biosensors Fertilisers and pesticides Nanotechnology

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Building an interoperable space for smart agriculture

引用

Digital Communications and Networks 2023年第1期9卷 183-193页

作者： Ioanna Roussaki Kevin Doolin Antonio Skarmeta George Routis Juan Antonio Lopez-Morales Ethel Claffey Manuel Mora Juan Antonio Martinez Institute of Communications and Computer Systems AthensGreece Walton Institute WaterfordIreland Department of Information and Communications Engineering University of MurciaMurciaSpain School of Business Waterford Institute of TechnologyWaterfordIreland R&D Department Odin SolutionsMurciaSpain

The digital transformation in agriculture introduces new challenges in terms of data,knowledge and technology adoption due to critical interoperability issues,and also challenges regarding the identification of the most suitable data sources to be exploited and the information models that must be ***(Building an Interoperable,Data-Driven,Innovative and Sustainable European Agri-Food Sector)addresses these challenges by providing an overarching solution that integrates various heterogeneous hardware and software resources(e.g.,devices,networks,platforms)and enables the seamless sharing of data and knowledge throughout the agri-food *** paper introduces the main concepts of DEMETER and its reference architecture to address the data sharing and interoperability needs of farmers,which is validated via two rounds of 20 large-scale pilots along the DEMETER *** paper elaborates on the two pilots carried out in region of Murcia in Spain,which target the arable crops sector and demonstrate the benefits of the deployed DEMETER reference architecture.

关键词： smart agriculture Internet of things(IoT) DEMETER Reference architecture Interoperability Agricultural information model(AIM) Pilot validation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Internet of Things for the Future of smart agriculture: A Comprehensive Survey of Emerging Technologies

引用

IEEE/CAA Journal of Automatica Sinica 2021年第4期8卷 718-752页

作者： Othmane Friha Mohamed Amine Ferrag Lei Shu Leandros Maglaras Xiaochan Wang Networks and Systems Laboratory University of Badji Mokhtar-AnnabaAnnaba 23000Algeria Department of Computer Science Guelma UniversityGulema 24000Algeria College of Engineering Nanjing Agricultural UniversityNanjing 210095China School of Engineering University of LincolnLincoln LN67TSUK School of Computer Science and Informatics De Montfort UniversityLeicester LE19BHUK Department of Electrical Engineering Nanjing Agricultural UniversityNanjing 210095China

This paper presents a comprehensive review of emerging technologies for the internet of things(IoT)-based smart *** begin by summarizing the existing surveys and describing emergent technologies for the agricultural IoT,such as unmanned aerial vehicles,wireless technologies,open-source IoT platforms,software defined networking(SDN),network function virtualization(NFV)technologies,cloud/fog computing,and middleware *** also provide a classification of IoT applications for smart agriculture into seven categories:including smart monitoring,smart water management,agrochemicals applications,disease management,smart harvesting,supply chain management,and smart agricultural ***,we provide a taxonomy and a side-by-side comparison of the state-ofthe-art methods toward supply chain management based on the blockchain technology for agricultural ***,we present real projects that use most of the aforementioned technologies,which demonstrate their great performance in the field of smart ***,we highlight open research challenges and discuss possible future research directions for agricultural IoTs.

关键词： Agricultural internet of things(IoT) internet of things(IoT) smart agriculture smart farming sustainable agriculture

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A Survey on smart agriculture:Development Modes,Technologies,and Security and Privacy Challenges

引用

IEEE/CAA Journal of Automatica Sinica 2021年第2期8卷 273-302页

作者： Xing Yang Lei Shu Jianing Chen Mohamed Amine Ferrag Jun Wu Edmond Nurellari Kai Huang the College of Engineering Nanjing Agricultural UniversityNanjing 210031China the School of Engineering University of LincolnLincoln LN67TSUK the School of Cyber Security Shanghai Jiao Tong UniversityShanghai 200240China Department of Computer Science Guelma UniversityB.P.40124000Algeria

With the deep combination of both modern information technology and traditional agriculture,the era of agriculture 4.0,which takes the form of smart agriculture,has *** agriculture provides solutions for agricultural intelligence and ***,information security issues cannot be ignored with the development of agriculture brought by modern information *** this paper,three typical development modes of smart agriculture(precision agriculture,facility agriculture,and order agriculture)are ***,7 key technologies and 11 key applications are derived from the above *** on the above technologies and applications,6 security and privacy countermeasures(authentication and access control,privacy-preserving,blockchain-based solutions for data integrity,cryptography and key management,physical countermeasures,and intrusion detection systems)are summarized and ***,the security challenges of smart agriculture are analyzed and organized into two aspects:1)agricultural production,and 2)information *** current research projects have not taken agricultural equipment as potential security ***,we did some additional experiments based on solar insecticidal lamps Internet of Things,and the results indicate that agricultural equipment has an impact on agricultural ***,more technologies(5 G communication,fog computing,Internet of Everything,renewable energy management system,software defined network,virtual reality,augmented reality,and cyber security datasets for smart agriculture)are described as the future research directions of smart agriculture.

关键词： Agricultural artificial intelligence agricultural automation agricultural Internet of Things security smart agriculture

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Security Analysis in smart agriculture: Insights from a Cyber-Physical System Application

引用

Computers, Materials & Continua 2024年第6期79卷 4781-4803页

作者： Ahmed Redha Mahlous College of Computer and Information Sciences Prince Sultan UniversityRiyadh11586Saudia Arabia

smart agriculture modifies traditional farming practices,and offers innovative approaches to boost production and sustainability by leveraging contemporary *** today’s world where technology is everything,these technologies are utilized to streamline regular tasks and procedures in agriculture,one of the largest and most significant industries in every *** research paper stands out from existing literature on smart agriculture security by providing a comprehensive analysis and examination of security issues within smart agriculture *** into three main sections-security analysis,system architecture and design and risk assessment of Cyber-Physical Systems(CPS)applications-the study delves into various elements crucial for smart farming,such as data sources,infrastructure components,communication protocols,and the roles of different stakeholders such as farmers,agricultural scientists and researchers,technology providers,government agencies,consumers and many *** contrast to earlier research,this work analyzes the resilience of smart agriculture systems using approaches such as threat modeling,penetration testing,and vulnerability *** discoveries highlight the concerns connected to unsecured communication protocols,possible threats from malevolent actors,and vulnerabilities in IoT ***,the study suggests enhancements for CPS applications,such as strong access controls,intrusion detection systems,and encryption *** addition,risk assessment techniques are applied to prioritize mitigation tactics and detect potential hazards,addressing issues like data breaches,system outages,and automated farming process *** research sets itself apart even more by presenting a prototype CPS application that makes use of a digital temperature *** application was first created using a Tinkercad simulator and then using actual hardware with Arduino *** CPS application’s defenses against p

关键词： smart agriculture cyber-physical system IoT security temperature sensor threats vulnerabilities

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Triboelectric nanogenerators for smart agriculture

引用

InfoMat 2023年第2期5卷 80-119页

作者： Shufen Dai Xunjia Li Chengmei Jiang Jianfeng Ping Yibin Ying Laboratory of Agricultural Information Intelligent Sensing School of Biosystems Engineering and Food ScienceZhejiang UniversityHangzhouPeople's Republic of China Key Laboratory of Intelligent Equipment and Robotics for agriculture of Zhejiang Province HangzhouPeople's Republic of China Key Laboratory of Micro/Nano-Sensing Technology for Biological Information Acquisition ZJU-Hangzhou Global Scientific and Technological Innovation CenterHangzhouPeople's Republic of China

Rapid iterations of sensing,energy,and communication technologies transform traditional agriculture into standardized,intensive,and smart modern ***,the energy supply challenge for the plentiful sensors or other microdevices constraints the extensive application of intelligent technologies in *** nanogenerator(TENG),which efficiently converts mechanical energy into electrical energy through contact electrification and electrostatic induction,is considered a promising way to build next-generation intelligent energy supply *** efficiently harvesting low-frequency mechanical energy from the agricultural environment,including wind,rain,and water flow energy,TENGs can be a strong contender for distributed power for microdevice networks in smart *** addition,highly customizable TENGs can be combined with microdevices in agriculture to enable self-powered agricultural monitoring and production strategy *** deeply exploring the application potential of TENG in agriculture,it is conducive to further promoting unmanned production,refinement,and intelligence of agricultural production and enhancing agriculture's ability to combat natural risks.

关键词： energy harvesting Internet of Things self-powered sensor smart agriculture triboelectric nanogenerator

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer vision in smart agriculture and precision farming:Techniques and applications

Artificial Intelligence in Agriculture

引用

Artificial Intelligence in agriculture 2024年第3期13卷 64-83页

作者： Sumaira Ghazal Arslan Munir Waqar S.Qureshi Department of Computer Science Kansas State University66506 ManhattanKSUSA Department of Electrical Engineering and Computer Science Florida Atlantic University33431 Boca RatonFLUSA School of Computer Science University of GalwayH91 TK33 GalwayIreland

The transformation of age-old farming practices through the integration of digitization and automation has sparked a revolution in agriculture that is driven by cutting-edge computer vision and artificial intelligence(AI)*** transformation not only promises increased productivity and economic growth,but also has the potential to address important global issues such as food security and *** survey paper aims to provide a holistic understanding of the integration of vision-based intelligent systems in various aspects of precision *** providing a detailed discussion on key areas of digital life cycle of crops,this survey contributes to a deeper understanding of the complexities associated with the implementation of vision-guided intelligent systems in challenging agricultural *** focus of this survey is to explore widely used imaging and image analysis techniques being utilized for precision farming *** paper first discusses various salient crop metrics used in digital *** this paper illustrates the usage of imaging and computer vision techniques in various phases of digital life cycle of crops in precision agriculture,such as image acquisition,image stitching and photogrammetry,image analysis,decision making,treatment,and *** establishing a thorough understanding of related terms and techniques involved in the implementation of vision-based intelligent systems for precision agriculture,the survey concludes by outlining the challenges associated with implementing generalized computer vision models for real-time deployment of fully autonomous farms.

关键词： Digital agriculture Computer vision smart agriculture Image analysis Vision-guided intelligent systems

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

An Interpretable Artificial Intelligence Based smart agriculture System

引用

Computers, Materials & Continua 2022年第8期72卷 3777-3797页

作者： Fariza Sabrina Shaleeza Sohail Farnaz Farid Sayka Jahan Farhad Ahamed Steven Gordon School of Engineering and Technology Central Queensland UniversitySydneyAustralia College of Engineering Science and EnvironmentThe University of NewcastleSydneyAustralia School of Social Sciences Western Sydney UniversitySydneyAustralia Department of Environmental Sciences Macquarie UniversitySydneyAustralia School of Computing Data and MathematicalSciencesWestern Sydney UniversitySydneyAustralia School of Engineering and Technology Central Queensland UniversityCairnsAustralia

With increasing world population the demand of food production has increased *** of Things(IoT)based smart agriculture system can play a vital role in optimising crop yield by managing crop requirements in *** can be an important factor to make such systems trusted and easily adopted by *** this paper,we propose a novel artificial intelligence-based agriculture system that uses IoT data to monitor the environment and alerts farmers to take the required actions for maintaining ideal conditions for crop *** strength of the proposed system is in its interpretability which makes it easy for farmers to understand,trust and use *** use of fuzzy logic makes the system customisable in terms of types/number of sensors,type of crop,and adaptable for any soil types and weather *** proposed system can identify anomalous data due to security breaches or hardware malfunction using machine learning *** ensure the viability of the system we have conducted thorough research related to agricultural factors such as soil type,soil moisture,soil temperature,plant life cycle,irrigation requirement and water application timing for Maize as our target *** experimental results show that our proposed system is interpretable,can detect anomalous data,and triggers actions accurately based on crop requirements.

关键词： Explainable artificial intelligence fuzzy logic internet of things machine learning sensors smart agriculture

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Image classification on smart agriculture platforms:Systematic literature review

Artificial Intelligence in Agriculture

引用

Artificial Intelligence in agriculture 2024年第3期13卷 1-17页

作者： Juan Felipe Restrepo-Arias John W.Branch-Bedoya Gabriel Awad Escuela de Ciencias Aplicadas e Ingeniería Universidad EAFIT050022 MedellínColombia Facultad de Minas Universidad Nacional de Colombia050041 Sede MedellínColombia

In recent years,smart agriculture has gained strength due to the application of industry 4.0 technologies in *** a result,efforts are increasing in proposing artificial vision applications to solvemany ***,many of these applications are developed *** academic works have proposed solutions integrating image classification techniques through IoT *** this reason,this paper aims to answer the following research questions:(1)What are themain problems to be solvedwith smart farming IoT platforms that incorporate images?(2)What are the main strategies for incorporating image classification methods in smart agriculture IoT platforms?and(3)What are the main image acquisition,preprocessing,transmission,and classification technologies used in smart agriculture IoT platforms?This study adopts a Systematic Literature Review(SLR)*** searched Scopus,Web of Science,IEEE Xplore,and Springer Link databases from January 2018 to July *** we could identify five domains corresponding to(1)disease and pest detection,(2)crop growth and health monitoring,(3)irrigation and crop protectionmanagement,(4)intrusion detection,and(5)fruits and plant *** are three types of strategies to integrate image data into smart agriculture IoT platforms:(1)classification process in the edge,(2)classification process in the cloud,and(3)classification process *** main advantage of the first is obtaining data in real-time,and its main disadvantage is the cost of *** the other hand,the main advantage of the second is the ability to process high-resolution images,and its main disadvantage is the need for high-bandwidth ***,themixed strategy can significantly benefit infrastructure investment,butmostworks are experimental.

关键词： smart agriculture Artificial vision Internet of things Artificial intelligence

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Service design for climate-smart agriculture

引用

Information Processing in agriculture 2021年第2期8卷 328-340页

作者： Michael O’Grady David Langton Francesca Salinari Peter Daly Gregory O’Hare School of Computer Science University College DublinBelfieldDublin 4Ireland Origin Enterprises plc 4-6 RiverwalkCitywest Business CampusDublin 24Ireland

Holistic information systems for climate-smart agriculture demands the seamless integration of various categories of climate,meteorological and weather *** actor in the agricultural value chain may harness weather forecasts at the short and medium-range,local weather history,and prevailing climatic conditions,to inform *** is fundamental to many day-to-day operations,especially at farm-level,influencing decision-making at various spatial and temporal *** operational decisions ideally require hyper-localized service *** practice,integrating weather information into decision-support services demands a comprehensive understanding of various categories of weather-related data,their genesis,as well as the specific standards and data formats used by the meteorological *** paper considers the weather as a crucial context for the delivery of farm-level operational services in smart agriculture,highlighting critical issues for reflection by system designers during the service design and implementation phases.

关键词： smart agriculture Climate services Agrometeorology Precision agriculture

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：