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: Optimizing smart and sustainable agriculture for sustainability
  name:
    name part: Acharya, Biswa Ranjan
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Bansal, Ankita
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Jain, Abha
    name part: (Professor of software engineering)
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Jain, Rachna
    name part: (Professor of information technology)
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Rodrigues, Joel
    name part: 1972-
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2025
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: "This reference text addresses the importance of smart crop management for increasing yield and presents a framework for smart monitoring and regulation of crop observation. It further comprehensively covers important topics such as spatial decision support systems for precision farming, swarm intelligence in the optimal management of aquaculture farms, and intelligent harvesting algorithms for improving productivity. This book: Presents metaheuristic algorithms for optimization, economic crop planning, and use of effective water resource management. Discusses spatial decision support systems for crop productivity management, watershed management, and precision farming. Illustrates swarm intelligence-based optimization techniques, data mining, and machine learning methods for aquaculture operations. Highlights artificial intelligence and machine learning-based harvesting algorithms for improving productivity. Explains the use of green Internet of Things security solutions for agriculture, plant condition management, and greenhouse simulation. It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, agricultural science, and information technology"-- Provided by publisher.
  table of contents: Chapter 1. Economic efficiency through livestock production monitoring and prediction in smart agriculture -- Chapter 2. Smart crop management for increased yield -- Chapter 3. Smart solutions and sustainability for agriculture using deep learning -- Chapter 4. Bi-LSTM based deep learning model for crop yield prediction -- Chapter 5. Food image recognition and calorie estimation -- Chapter 6. Precision agriculture: navigating environmental sustainability -- Chapter 7. Moving towards sustainable and smart agriculture -- Chapter 8. Green IOT for smart agricultural monitoring -- Chapter 9. Agricapital, a three-way agro-market aggregation using Cluster CRUD operations and role of ML in agriculture Chapter 10. Optimizing smart and sustainable agriculture for sustainability -- Chapter 11. Green IoT for smart agricultural monitoring -- Chapter 12. Agricultural farming decision support system using artificial intelligence: a comparative analysis -- Chapter 13. Drones- the unmanned aerial vehicles for precision management of pests and diseases of crops.
  note: edited by Biswaranjan Acharya, Ankita Bansal, Abha Jain, Rachna Jain, and Joel J. P. C. Rodrigues.
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial intelligence
    topic: Agricultural applications
  subject:
    topic: Agricultural informatics
  subject:
    topic: Agricultural innovations
  subject:
    topic: Intelligence artificielle
    topic: Applications agricoles
  subject:
    topic: Agriculture
    topic: Informatique
  subject:
    topic: Agriculture
    topic: Innovations
  subject:
    topic: Agricultural informatics
  subject:
    topic: Agricultural instruments
  subject:
    topic: Artificial intelligence
    topic: Agricultural applications
  classification: S494.5.D3
  classification: 338.10285
  related item:
    title info:
      title: Future generation information systems
  related item:
    title info:
      title: Optimizing smart and sustainable agriculture for sustainability
    origin info:
      publisher: Boca Raton : CRC Press, 2025
      edition: First edition.
    identifier: (DLC) 2025000835
  identifier: 9781003628392
  identifier: 1003628397
  identifier: 9781040360019
  identifier: 1040360017
  identifier: 9781040360026
  identifier: 1040360025
  identifier: 9781032657943
  identifier: 9781041044826
  identifier: 2025000836
  identifier: 9781003628392 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 250428
    record change date: 20250812154451.7
    record identifier: in00005659121
    language of cataloging:
      language term: eng