The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
A smart IoT-based irrigation system design using AI and prediction model
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The MAX44009 sensor is used in systems for monitoring photosynthetic intensity and dynamic changes in large-scale cultures due to its high sensitivity to visible light intensity and low power consumption.
“One example of such an implementation is the MAX44009 sensor (Maxim Integrated Products, Inc, San Jose, CA, USA), which is used in systems for monitoring photosynthetic intensity and dynamic changes in large-scale cultures due to its high sensitivity to visible light intensity and low power consumption [252].”
From Multi-Sensing Monitoring of the Microalgae Biomass Cultivation Systems for Biofuels and Added Value Products Synthesis—Challenges and Opportunities (2025) · cites this paper as [252]
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Sorted by citations
Dębowski, M., Kazimierowicz, J., & Zieliński, M. (2025) · Applied Sciences · doi:10.3390/app15137324 · Cited by 30
Metadata
- Authors
- Behzadipour, F., Ghasemi Nezhad Raeini, M., Abdanan Mehdizadeh, S., Taki, M., Khalil Moghadam, B., Zare Bavani, M. R., & Lloret, J.
- Affiliations
- Agricultural Sciences and Natural Resources University of Khuzestan (IR)
- Universitat Politècnica de València (ES)
- Venue
- Neural Computing and Applications
- Published
- 2023-09-13
- Volume
- 35
- Issue
- 35
- Pages
- 24843-24857
- ISSN
- 0941-0643 (ISSN-L)
- 1433-3058
- OpenAlex
- W4386708381
- Cited by
- 39
- References
- 27
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 10 · 2023: 2
- FWCI
- 6.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Neural Computing and Applications (publishedVersion)
- RiuNet (Universitat Politècnica de València) (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Smart Agriculture and AI
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Irrigation Practices and Water Management
- Physical Sciences › Environmental Science › Water Science and Technology › Engineering and Agricultural Innovations
- Keywords
- smart irrigation, Internet of Things, genetic programming, regression models, soil moisture sensing, leaf image analysis, water saving, crop yield, microcontroller control, agricultural automation
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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