Cited by 12Smart Agriculture and AIInternet of Things and AIRemote Sensing in Agriculture

Role of Artificial Intelligence and the Internet of Things in Agriculture

Singh, Garima, Singh, Anamika, Kaur, Gurjit·2021·Artificial Intelligence to Solve Pervasive Internet of Things Issues

Integrity signals

Registry

Crossref · 10.1016/b978-0-12-818576-6.00016-2

Cites

31 of 31 references verified0 citation errors · 0 not checkable

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  • By analyzing and interpreting the data, farmers can comprehend the relationship between different agricultural factors, such as soil characteristics and climate variables, which aids in informed decisions and effective planning [113].

    “By analyzing and interpreting the data, farmers can comprehend the relationship between different agricultural factors, such as soil characteristics and climate variables, which aids in informed decisions and effective planning [113].”

    From A Comprehensive Survey on TinyML (2023) · cites this paper as [113]

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Authors
Singh, G., Singh, A., & Kaur, G.
Affiliations
  • Delhi Technological University (IN)
  • Gautam Buddha University (IN)
Venue
Artificial Intelligence to Solve Pervasive Internet of Things Issues
Publisher
Elsevier
Published
2021
Pages
317-330
OpenAlex
W3123251701
Cited by
12
References
32
Citations by year
2026: 3 · 2025: 1 · 2024: 3 · 2023: 2 · 2022: 3
FWCI
3.69
Type
book chapter
Language
en
Open access
closed
Locations
Elsevier eBooks (publishedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Smart Agriculture and AI
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
Keywords
artificial intelligence in agriculture, Internet of Things, smart agriculture, agricultural yields, resource efficiency, agricultural technology, precision agriculture

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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