rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Smart agricultural services using deep learning, big data, and IoT
  name:
    name part: Gupta, Amit Kumar
    name part: 1981-
    role:
      role term: editor.
  name:
    name part: IGI Global Online
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Chapter 1. A neural network-based approach for pest detection and control in modern agriculture using Internet of things -- Chapter 2. Automated fruit grading system using image fusion -- Chapter 3. Fog computing as solution for IoT-based agricultural applications -- Chapter 4. Green cloud -- Chapter 5. Internet of things: a conceptual visualisation -- Chapter 6. Internet of things and the role of wireless sensor networks in IoT -- Chapter 7. IoT-based agri-safety model: mechanised agricultural fencing -- Chapter 8. Plant diseases concept in smart agriculture using deep learning -- Chapter 9. Smart agriculture and farming services using IoT -- Chapter 10. Smart agriculture services using deep learning, big data, and IoT (Internet of things) -- Chapter 11. An analysis of big data analytics -- Chapter 12. Towards intelligent agriculture using smart IoT sensors.
  note: Amit Kumar Gupta, Dinesh Goyal, Vijendra Singh, Harish Sharma.
  note: Electronic resource.
  note: Includes bibliographical references and index.
  subject:
    topic: Agricultural informatics
  subject:
    topic: Artificial intelligence
    topic: Agricultural applications
  subject:
    topic: Big data
  subject:
    topic: Internet of things
  subject:
    topic: Machine learning
  classification: S494.5.D3 S63 2021
  classification: 630.2085
  related item:
    title info:
      title: Smart agricultural services using deep learning, big data, and IoT
    origin info:
      publisher: Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2021]
    identifier: (DLC) 2020006971
  related item:
    title info:
      title: Advances in environmental engineering and green technologies (AEEGT) book series
  identifier: 1799850048
  identifier: 9781799850045
  identifier: 9781799850038
  identifier: 9781799854852
  identifier: 2020006972
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 200213
    record change date: 20210728140531.0
    record identifier: in00004352792