An open Internet of Things (IoT)-based framework for feedback controlof photosynthetic activities
Open accessAbstract
Active control of photosynthetic activities is important in plant physiological study. Although models of plant photosynthesis have been built at different scales, they have not been fully examined for their application in plant growth control. However, we do not have an infrastructure to support such experiments since current plant growth chambers usually use fixed control protocols. In our current paper, an open IoT-based framework is proposed. This framework allows a plant scientist or agricultural engineer, through an application programming interface (API), in a desirable programming language, (1) to gather environmental data and plant physiological responses; (2) to program and execute control algorithms based on their models, and then (3) to implement real-time commands to control environmental factors. A plant growth chamber was developed to demonstrate the concept of the proposed open framework.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Yuan et al. designed and implemented an open IoT-based plant growth chamber to implement real-time commands to control environmental factors to optimize plant photosynthetic activities.
“To optimize plant photosynthetic activities, Yuan et al. [81] designed and implemented an open IoT-based plant growth chamber to implement real-time commands to control environmental factors.”
From Design and Evaluation of a Smart Ex Vitro Acclimatization System for Tissue Culture Plantlets (2022) · cites this paper as [81]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Genty, B., Briantais, J., & Baker, N. R. (1989) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/s0304-4165(89)80016-9 · Cited by 8,741 · see citing works
Chlorophyll Fluorescence: A Probe of Photosynthesis In Vivo
Baker, N. R. (2008) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.59.032607.092759 · Cited by 4,672 · see citing works
Meeting the Global Food Demand of the Future by Engineering Crop Photosynthesis and Yield Potential
Long, S. P., Marshall‐Colón, A., & Zhu, X. (2015) · Cell · doi:10.1016/j.cell.2015.03.019 · Cited by 1,050 · see citing works
Too much of a good thing: light can be bad for photosynthesis
Barber, J. P., & Andersson, B. (1992) · Trends in Biochemical Sciences · doi:10.1016/0968-0004(92)90503-2 · Cited by 1,022 · see citing works
Internet of things (IoT) security: Current status, challenges and prospective measures
Mahmoud, R., Yousuf, T., Aloul, F., & Zualkernan, I. A. (2015) · International Conference for Internet Technology and Secured Transactions · doi:10.1109/icitst.2015.7412116 · Cited by 778 · see citing works
Mosquitto: server and client implementation of the MQTT protocol
Light, R. (2017) · The Journal of Open Source Software · doi:10.21105/joss.00265 · Cited by 528 · see citing works
Kennedy, D., & Norman, C. A. (2005) · Science · doi:10.1126/science.309.5731.75 · Cited by 468 · see citing works
Carbon Dioxide Concentration, Photosynthesis, and Dry Matter Production
Kramer, P. J. (1981) · BioScience · doi:10.2307/1308175 · Cited by 402 · see citing works
Yu, J., Liberton, M., Cliften, P. F., Head, R. D., Jacobs, J., Smith, R. D., Koppenaal, D., Brand, J. J., & Pakrasi, H. B. (2015) · Scientific Reports · doi:10.1038/srep08132 · Cited by 372 · see citing works
Smart poultry management: Smart sensors, big data, and the internet of things
Astill, J., Dara, R. A., Fraser, E., Roberts, B., & Sharif, S. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105291 · Cited by 322 · see citing works
Zhu, X., Jee, G., Baker, N. R., de Sturler, E., Ort, D. R., & Long, S. P. (2005) · Planta · doi:10.1007/s00425-005-0064-4 · Cited by 274 · see citing works
Water scarcity impacts on global food production
Dinar, A., Tieu, A., & Huynh, H. (2019) · Global Food Security · doi:10.1016/j.gfs.2019.07.007 · Cited by 253 · see citing works
Source–sink interaction: a century old concept under the light of modern molecular systems biology
Chang, T.-G., & Zhu, X. (2017) · Journal of Experimental Botany · doi:10.1093/jxb/erx002 · Cited by 234 · see citing works
Effects of temperature on photosynthesis and growth of seagrasses
Bulthuis, D. A. (1987) · Aquatic Botany · doi:10.1016/0304-3770(87)90084-2 · Cited by 211 · see citing works
Modeling chlorophyll a fluorescence transient: Relation to photosynthesis
Stirbet, A. D., Riznichenko, G. Y., Rubin, A. B., & Jee, G. (2014) · Biochemistry (Moscow) · doi:10.1134/s0006297914040014 · Cited by 198 · see citing works
Dietz, K., Schreiber, U., & Heber, U. (1985) · Planta · doi:10.1007/bf00397352 · Cited by 189 · see citing works
Thingspeak Based Sensing and Monitoring System for IoT with Matlab Analysis
Pasha, S. (2016) · International Journal of New Technology and Research · Cited by 185 · see citing works
Chlorophyll a fluorescence: beyond the limits of the QA model
Schansker, G., Tóth, S. Z., Holzwarth, A. R., & Garab, G. (2013) · Photosynthesis Research · doi:10.1007/s11120-013-9806-5 · Cited by 174 · see citing works
Architecture framework of IoT-based food and farm systems: A multiple case study
Verdouw, C. N., Sundmaeker, H., Teki̇nerdoğan, B., Conzon, D., & Montanaro, T. (2019) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2019.104939 · Cited by 174 · see citing works
Hemming, S., de Zwart, F., Elings, A., Righini, I., & Πετροπούλου, Ά. (2019) · Sensors · doi:10.3390/s19081807 · Cited by 164 · see citing works
Sipka, G., Magyar, M., Mezzetti, A., Akhtar, P., Zhu, Q., Xiao, Y., Han, G., Santabarbara, S., Shen, J., Lambrev, P. H., et al. (2021) · The Plant Cell · doi:10.1093/plcell/koab008 · Cited by 136 · see citing works
Crops In Silico: Generating Virtual Crops Using an Integrative and Multi-scale Modeling Platform
Marshall‐Colón, A., Long, S. P., Allen, D. K., Allen, G., Beard, D. A., Beneš, B., von Caemmerer, S., Christensen, A., Cox, D., Hart, J. C., et al. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.00786 · Cited by 131 · see citing works
REST API Design Patterns for SDN Northbound API
Zhou, W., Li, L., Luo, M., & Chou, W. (2014) · International Conference on Advanced Information Networking and Applications Workshops (WAINA) · doi:10.1109/waina.2014.153 · Cited by 115 · see citing works
Exploring the cloud from passive measurements: The Amazon AWS case
Bermudez, I. N., Traverso, S., Mellia, M., & Munafò, M. M. (2013) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2013.6566769 · Cited by 87 · see citing works
Instrumentation in Developing Chlorophyll Fluorescence Biosensing: A Review
Fernandez-Jaramillo, A. A., Duarte-Galvan, C., Contreras-Medina, L. M., Torres-Pacheco, I., Romero-Troncoso, R. D. J., Guevara-Gonzalez, R. G., & Millan-Almaraz, J. R. (2012) · Sensors · doi:10.3390/s120911853 · Cited by 76 · see citing works
Shinkarev, V. P., & Jee, G. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.16.7466 · Cited by 65 · see citing works
Leveraging Fog Computing for Sustainable Smart Farming Using Distributed Simulation
Malik, A. W., Rahman, A. U., Qayyum, T., & Ravana, S. D. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2967405 · Cited by 55 · see citing works
Roadmap to High Throughput Phenotyping for Plant Breeding
Kim, J. Y. (2020) · Journal of Biosystems Engineering · doi:10.1007/s42853-020-00043-0 · Cited by 46 · see citing works
van Iersel, M. W., Weaver, G. M., Martin, M. T., Ferrarezi, R. S., Mattos, E. R., & Haidekker, M. A. (2016) · Journal of the American Society for Horticultural Science · doi:10.21273/jashs.141.2.169 · Cited by 45 · see citing works
Kannan, K., Wang, Y., Lang, M., Challa, G. S., Long, S. P., & Marshall‐Colón, A. (2019) · in silico Plants · doi:10.1093/insilicoplants/diz008 · Cited by 37 · see citing works
Padhi, B. K., CHAUHAN, G., Kandoi, D., Stirbet, A. D., Tripathy, B. C., & GOVINDJEE, G. (2021) · Photosynthetica · doi:10.32615/ps.2021.026 · Cited by 36 · see citing works
Self-citationChristensen, A., Srinivasan, V., Hart, J. C., & Marshall‐Colón, A. (2018) · Nutrition Reviews · doi:10.1093/nutrit/nux076 · Cited by 35 · see citing works
Modeling and simulation of the initial phases of chlorophyll fluorescence from Photosystem II
Guo, Y., & Tan, J. (2010) · Biosystems · doi:10.1016/j.biosystems.2010.10.008 · Cited by 34 · see citing works
Self-citationJuhásová, B., Juhás, M., & Halenár, I. (2017) · IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI) · doi:10.1109/sami.2017.7880306 · Cited by 20 · see citing works
Campani, G., Ribeiro, M. P. D. A., Zangirolami, T. C., & Lima, F. V. (2019) · Bioprocess and Biosystems Engineering · doi:10.1007/s00449-019-02143-4 · Cited by 17 · see citing works
Guarini, J., & Moritz, C. (2009) · Photosynthetica · doi:10.1007/s11099-009-0034-3 · Cited by 17 · see citing works
Using chlorophyll fluorescence to control lighting in controlled environment agriculture
van Iersel, M. W., Mattos, E., Weaver, G. M., Ferrarezi, R. S., Martin, M. T., & Haidekker, M. A. (2016) · Acta Horticulturae · doi:10.17660/actahortic.2016.1134.54 · Cited by 14 · see citing works
Survey of Tools for Measuring In Vivo Photosynthesis
Walker, B. J., Busch, F. A., Driever, S. M., Kromdijk, J., & Lawson, T. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7786-4_1 · Cited by 13 · see citing works
Fu, L., Govindjee, G., Tan, J., & Guo, Y. (2019) · Photosynthesis Research · doi:10.1007/s11120-019-00690-1 · Cited by 9 · see citing works
Self-citationFeng, S., Fu, L., Xia, Q., Tan, J., Jiang, Y., & Guo, Y. (2018) · IET Systems Biology · doi:10.1049/iet-syb.2018.5003 · Cited by 8 · see citing works
Self-citationData standards for plant phenotyping: MIAPPE and its implementations
Pommier, C., Cornut, G., Letellier, T., Michotey, C., Neveu, P., Ruíz, M., Larmande, P., Kersey, P. J., Ćwiek‐Kupczyńska, H., Krajewski, P., et al. (2018) · HAL · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Balaji G.N., Nandhini V., Mithra S. et al.: Iot based smart crop monitoring in farm land. – Imp. J. Interdiscip. Res. 4: 88- 92, 2018. https://www.researchgate.net/publication/322508245_IOT_Based_Smart_Crop_Monitoring_in_Farm_Land
- Govindjee G., Amesz J., Fork D.C.: Light Emission by Plants and Bacteria. Pp. 638. Academic Press, Orlando 1986. https://www.sciencedirect.com/book/9780122943102/light-emission-by-plants-and-bacteria
Cited by
Sorted by citations
Kaya, C. (2025) · Food and Energy Security · doi:10.1002/fes3.70050 · Cited by 77 · see citing works
Design and Evaluation of a Smart Ex Vitro Acclimatization System for Tissue Culture Plantlets
Mohammed, M., Munir, M., & Ghazzawy, H. S. (2022) · Agronomy · doi:10.3390/agronomy13010078 · Cited by 35 · see citing works
Internet of Things (IoT)-based indoor plant care system
Guerrero-Ulloa, G., García, M. A. M., Torres, V., Zamora-Mecías, V., Rodríguez-Domínguez, C., & Hornos, M. J. (2023) · Journal of Ambient Intelligence and Smart Environments · doi:10.3233/ais-220483 · Cited by 24 · see citing works
Stress-induced delay of the I-P rise of the fast chlorophyll a fluorescence transient in tomato
Chen, S., Zheng, Q., Qi, Z., Ding, J., Song, X., & Xia, X. (2023) · Scientia Horticulturae · doi:10.1016/j.scienta.2023.112741 · Cited by 21 · see citing works
Kubiak, A. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.164709 · Cited by 11 · see citing works
Big data-driven water research towards metaverse
Uchimiya, M. (2024) · Water Science and Engineering · doi:10.1016/j.wse.2024.02.001 · Cited by 9 · see citing works
Govindjee’s 90th birthday: a life dedicated to photosynthesis
Stirbet, A. D., Shevela, D., Pareek, A., Naithani, S., Björn, L. O., Eaton‐Rye, J. J., & Nonomura, A. M. (2022) · Plant Physiology Reports · doi:10.1007/s40502-022-00690-9 · Cited by 4 · see citing works
Prášil, O. (., Kaňa, R., & GOVINDJEE, G. (2022) · Photosynthetica · doi:10.32615/ps.2022.017 · Cited by 3 · see citing works
Self-citationPhenomics and Next-Generation Phenotyping to Increase Genetic Gains in Crop Breeding
Reddy, S. P. P., Kumar, N., Bi, M., Kumar, S., & Bharadwaj, C. (2025) · Springer eBooks · doi:10.1007/978-981-95-0583-8_10
- Authors
- YUAN, S., TANG, H., FU, L. J., TAN, J. L., GOVINDJEE, G., & GUO, Y.
- Affiliations
- Jiangnan University (CN)
- Corresponding author
- GUO, Y.
- Venue
- Photosynthetica
- Publisher
- Institute of Experimental Botany
- Published
- 2022-03-18
- Volume
- 60
- Issue
- SPECIAL ISSUE 2022
- Pages
- 79-87
- ISSN
- 0300-3604 (ISSN-L)
- 1573-9058
- PMC
- PMC11559478
- OpenAlex
- W4205753217
- Cited by
- 9
- References
- 41
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 2 · 2022: 3
- FWCI
- 1.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- other-oa
- Locations
- Photosynthetica (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (51961125102, 111 Project, 31771680, 31871840, B12018)
- Higher Education Discipline Innovation Project (B12018)
- University of Illinois at Urbana-Champaign
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Smart Agriculture and AI
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Greenhouse Technology and Climate Control
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Light effects on plants
- Keywords
- Internet of Things, plant photosynthesis, feedback control, plant growth chamber, environmental control, real-time control, open-framework, application programming interfaces, plant growth regulation
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review