E-SMART: Environmental Sensing for Monitoring and Advising in Real-Time

被引:0
|
作者
Aitkenhead, Matthew [1 ]
Donnelly, David [1 ]
Coull, Malcolm [1 ]
Black, Helaina [1 ]
机构
[1] James Hutton Inst, Aberdeen AB15 8QH, Scotland
关键词
Environment; mobile phones; apps; monitoring; soil; models;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Smart monitoring, using real-time environmental sensing with links to server-side data processing/modeling, allows progression from data acquisition to useful information generation. The use of modern technology such as mobile phones to provide imagery and other types of data along with GPS-derived coordinates enables researchers and stakeholders to integrate ground-based observations with existing datasets. We have developed an infrastructure linking mobile communications, server-side processing and storage of data and imagery, and field-based access to existing spatial datasets. This infrastructure has been used for the development of a number of mobile phone apps (applications) and web-based applications, and has proved useful for stakeholders in agriculture, science and policy. In addition to giving information on the capacity development, we demonstrate useful applications relating to the upload, interpretation and integration of data (e.g. automated interpretation of soil profile imagery, carbon content estimation from soil colour) while focusing on the technical aspects of the underpinning system.
引用
收藏
页码:129 / 142
页数:14
相关论文
共 50 条
  • [1] E-smart real-time blood sugar administration
    Otoom, Mwaffaq
    Alshraideh, Hussam
    Almasaeid, Hisham M.
    López-De-ipiña, Diego
    Bravo, José
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8868 : 409 - 412
  • [2] Real-time environmental monitoring
    Sieburth, JM
    Kester, DR
    SEA TECHNOLOGY, 1997, 38 (10) : 47 - &
  • [3] A Study on Smart SansEC Skin Sensing for Real-Time Monitoring of Flexible Structures
    Kostogorova-Beller, Yulia
    Whitford, Jonathan
    Dudley, Kenneth
    Menon, Alok
    Chakravarthy, Animesh
    Steck, James
    IEEE SENSORS JOURNAL, 2018, 18 (07) : 2836 - 2844
  • [4] iBUG: AI Enabled IoT Sensing Platform for Real-time Environmental Monitoring
    Yousuf, Md Faishal
    Siddique, Talha
    Mahmud, M. D. Shaad
    2022 IEEE MICROELECTRONICS DESIGN & TEST SYMPOSIUM (MDTS), 2022,
  • [5] Internet of Things-based Hydrocarbon Sensing for Real-time Environmental Monitoring
    Yavari, Ali
    Georgakopoulos, Dimitrios
    Stoddart, Paul R.
    Shafiei, Mahnaz
    2019 IEEE 5TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2019, : 729 - 732
  • [6] Real-Time Rheological Monitoring With the Smart Stirrer
    Isakov, Dmitry
    Gibbons, Gregory J.
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73 : 1 - 6
  • [7] AGRO: A smart sensing and decision-making mechanism for real-time agriculture monitoring
    Koteish, Kamila
    Harb, Hassan
    Dbouk, Mohammad
    Zaki, Chamseddine
    Abou Jaoude, Chady
    JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 34 (09) : 7059 - 7069
  • [8] Digital colorimetric sensing for real-time gas monitoring for smart green energy system
    Cho, Hui Hun
    Dutta, Riya
    Kwak, Jang-Kyun
    Moon, Changgyun
    Kim, Min-Jae
    Suh, Su-Jeong
    Kim, Dong-Hwan
    Lee, Jung Heon
    Kim, Sunkook
    ECOMAT, 2023, 5 (09)
  • [9] Real-time bioelectronic sensing of environmental contaminants
    Atkinson, Joshua T.
    Su, Lin
    Zhang, Xu
    Bennett, George N.
    Silberg, Jonathan J.
    Ajo-Franklin, Caroline M.
    NATURE, 2022, 611 (7936) : 548 - +
  • [10] Real-time bioelectronic sensing of environmental contaminants
    Joshua T. Atkinson
    Lin Su
    Xu Zhang
    George N. Bennett
    Jonathan J. Silberg
    Caroline M. Ajo-Franklin
    Nature, 2022, 611 : 548 - 553