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 agriculture
    sub title: emerging pedagogies of deep learning, machine learning and Internet of Things
  name:
    name part: Patel, Govind Singh
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2021
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (vi, 211 pages) : illustrations
  abstract: "This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures"--
  table of contents: Machine learning and deep learning in agriculture / Sumit Koul -- Descriptive and predictive analytics of agricultural data using machine learning algorithms / Mrs. R. Suguna, Dr. R. Uma Rani -- Discrimination between weed and crop via image analysis using machine learning algorithm / P Amsin, Dr. R. Ma Rani -- Bio-inspired optimization algorithms for machine learning in agriculture applications / P.R. MahiDar -- Agricultural modernization with forecasting stages and machine learning / A.K. Awasthi and Arun Kumar Garov -- Classification of segmented image using increased global contrast for paddy plant disease / Md Abdul Muqueem, G. Raju and Govind Singh Patel -- IoT in agriculture : Survey on technology, challenges and future scope / Seema Nayak -- Role of IoT in sustainable farming / Rajasekhar Manda and P.Rajesh Kumar -- Smart farming : Crop models and decision support systems using IoT / Kanwaljeet Singh and Amandeep Kaur -- Smart irrigation in farming using internet of things / Devesh Kumar Srivastava and Priyanka Nair -- Automation systems in agriculture via IoT / Shylaja Vinay Kumar Karatangi, Reshu Agarwal and Manisha Pant -- A complete automated solution for farm field and garden nurturing using Internet of Things / S. Siva Kumar, A. M. Senthil Kumar, T. Rajesh Kumar, N. Sree Ram, V. Krishna Reddy and P. Sivakumar -- Machine intelligence techniques for agricultural production : Case study with tomato leaf disease detection / Mihir Narayan Mohanty -- Clock signal and its attribute for agriculture / Abhishek Kumar.
  note: edited by Govind Singh Patel, associate editors, Amrita Rai, Nripendra Narayan Das, R.P. Singh.
  note: Includes bibliographical references.
  subject:
    topic: Artificial intelligence
    topic: Agricultural applications
  subject:
    topic: Agricultural innovations
  subject:
    topic: Machine learning
  subject:
    topic: Internet of things
  subject:
    topic: Big data
  subject:
    topic: Intelligence artificielle
    topic: Applications agricoles
  subject:
    topic: Agriculture
    topic: Innovations
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Internet des objets
  subject:
    topic: Données volumineuses
  subject:
    topic: SCIENCE
    topic: Life Sciences
    topic: Botany
  subject:
    topic: TECHNOLOGY
    topic: Agriculture
    topic: General
  subject:
    topic: TECHNOLOGY
    topic: Machinery
  subject:
    topic: Agricultural innovations
  subject:
    topic: Artificial intelligence
    topic: Agricultural applications
  subject:
    topic: Big data
  subject:
    topic: Internet of things
  subject:
    topic: Machine learning
  classification: S494.5.D3 S623 2021
  classification: 338.10285
  related item:
    title info:
      title: Smart agriculture
    origin info:
      publisher: Boca Raton : CRC Press/Balkema/Taylor & Francis Group, [2021]
      edition: First edition.
    identifier: (DLC) 2020036553
  identifier: 9781003138884
  identifier: 1003138888
  identifier: 9781000327892
  identifier: 1000327892
  identifier: 9781000327878
  identifier: 1000327876
  identifier: 9781000327885
  identifier: 1000327884
  identifier: 9780367535803
  identifier: 9780367687687
  identifier: 2020036554
  identifier: 9781000327892 Ingram Content Group
  identifier: 9781003138884 Taylor & Francis
  identifier: 9781000327892 O'Reilly Media
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://go.oreilly.com/TAMU/library/view/-/9781000327892/
  record info:
    record content source: DLC
    record creation date: 200811
    record change date: 20241108165911.5
    record identifier: in00005524663
    language of cataloging:
      language term: eng