Cited by 67Smart Agriculture and AILight effects on plantsInnovations in Aquaponics and Hydroponics Systems

Improved Internet of Things (IoT) monitoring system for growth optimization of Brassica chinensis

Harun, Ahmad Nizar, Mohamed, Norliza, Ahmad, Robiah, Rahim, Abd Rahman Abdul, Ani, Nurul Najwa·2019·Computers and Electronics in Agriculture

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Crossref · 10.1016/j.compag.2019.05.045

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  • The IoT-based system installed to monitor the photoperiod, light intensity, and quality remotely improved plant height, leaf area, leaf number, and chlorophyll content in Brassica chinensis.

    “The IoT-based system installed to monitor the photoperiod, light intensity, and quality remotely improved plant height, leaf area, leaf number, and chlorophyll content in Brassica chinensis [80].”

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Authors
Harun, A. N., Mohamed, N., Ahmad, R., Rahim, A. R. A., & Ani, N. N.
Affiliations
  • MIMOS (Malaysia) (MY)
  • University of Technology Malaysia (MY)
Corresponding author
Ahmad, Robiah
Venue
Computers and Electronics in Agriculture
Publisher
Elsevier BV
Published
2019-09
Volume
164
Pages
104836
ISSN
0168-1699 (ISSN-L)
OpenAlex
W2948484056
Cited by
67
References
0
Citations by year
2026: 5 · 2025: 14 · 2024: 8 · 2023: 9 · 2022: 9 · 2021: 14 · 2020: 8
FWCI
5.71
Type
journal article
Language
en
Open access
closed
Locations
Computers and Electronics in Agriculture (publishedVersion)
Funders
  • Fundamental Research Grant Scheme (4F144)
  • Research University Grants Scheme (04H55)
  • Ministry of Higher Education Malaysia
  • Elite Scientific Instruments Sdn. Bhd
Topics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Smart Agriculture and AI
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Light effects on plants
  • Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Innovations in Aquaponics and Hydroponics Systems
Keywords
Internet of Things, Brassica chinensis, LED lighting, remote monitoring, photoperiod, light intensity, chlorophyll content, leaf area, plant factory, indoor cultivation, embedded systems, moisture content

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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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