Publications
Publications and Patents
49 entries, organized by category and year.
2024
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Functional-Structural Plant Model 'GreenLab': A State-of-the-Art ReviewPlant Phenomics, 2024, 6: 0118, DOI: 10.34133/plantphenomics.0118.
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Region-Farm Crop Planning Through Double Deep Q-Learning Toward Sustainable AgricultureIEEE Transactions on Computational Social Systems, 2024, doi: 10.1109/TCSS.2024.3413795.
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Stochastic modelling of development and biomass allocation: Computation applied to architecture of young mahogany trees, a native African savannah emblematic agroforestry speciesComputers and Electronics in Agriculture, 2024, 220: 108864.
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Smart Management of Sand-Breaking Systems for Taklimakan SandSea Highway: A Parallel Intelligence and Fuzzy Control ApproachIEEE Transactions on Computational Social Systems, 2024, doi:10.1109/TCSS.2024.3413795.
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Parallel intelligence in three decades: a historical review and future perspective on ACP and cyber physical social systemsArtificial Intelligence Review, 2024, 57:255.
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A Novel Agricultural Data Sharing Mode Based on Rice Disease IdentificationPlant Diseases and Pests, 2024, 15(2): 9-16.
2023
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The design and implementation of a distributed agricultural service system for smallholder farmers in ChinaInternational Journal of Agricultural Sustainability, 2023, 21 (1): 2221108
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The Development of AgriVerse: Past, Present, and FutureIEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53(6): 3718-3727. doi: 10.1109/TSMC.2022.3230830.
2022
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Parallel Control of Greenhouse Climate with a Transferable Prediction ModelIEEE Journal of Radio Frequency Identification, 2022, 6: 857-861.
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DeCASA in AgriVerse: Parallel Agriculture for Smart Villages in MetaversesIEEE/CAA Journal of Automatica Sinica, 2022, 9(12): 2055-2062.
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Machine learning versus crop models: an ally, not a rivalAoB PLANTS, 2023, 15(2): plac061.
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Stronger wind, smaller tree: Testing tree growth plasticity through a modeling approachFrontiers in Plant Sciences, 2022, 13:971690.
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The Architectural Unit Setting up and Architectural Characteristics of Néré, Parkia biglobosa, Jack, R.Br. (Fabaceae)American Journal of Plant Sciences, 2022, 13: 109-136.
2021
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Parallel crop planning based on price forecastInternational Journal of Intelligent System. 2021, 1‐22. doi:10.1002/int.22739
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Analyzing and optimizing yield formation of tomato introgression lines using plant modelEuphytica, 2021, 217:100. https://doi.org/10.1007/s10681-021-02834-8.
2020
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Two decades of research with the GreenLab model in Agronomy: A reviewAnnals of Botany, 2020, 127(3): 281-295. doi: 10.1093/aob/mcaa172.
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What are the differences in yield formation among two cucumber (Cucumis sativus L.) cultivars and their F1 hybrid?Journal of Integrative Agriculture, 2020, 19(7): 1789–1801.
2019
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Forecasting Horticultural Products Price Using ARIMA Model and Neural Network Based on a Large-Scale Data Set Collected by Web CrawlerIEEE Transactions on Computational Social Systems. 2019, 6(3): 547-553.
2018
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Estimating Parameters of Stochastic Functional-Structural Plant Models by Organic Series: from Virtual and Real PlantsFrontiers in Plant Science, 2018, 9:1688.
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Time-consistent estimation of LAI by assimilation in GreenLab plant growth modelComputers & Geosciences, 2018, 130: 57-68.
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Managing Traditional Solar Greenhouse With CPSS: A Just-for-Fit PhilosophyIEEE Transactions on Cybernetics, 2018, 48(12): 3371 – 3380.
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A knowledge-and-data-driven modeling approach for simulating plant growth and dynamics of CO2/O2 concentration in a closed system of plant and human beingComputers and Electronics in Agriculture, 2018, 148: 280-290.
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Computational botany: advancing plant science through functional–structural plant modellingAnnals of Botany, 2018, 121(5), 767–772.
2017
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From parallel plants to smart plants: intelligent control and management for plant growthIEEE/CAA Journal of Automatica Sinica, 2017. 4(2): 161-166. doi: 10.1109/JAS.2017.7510487.
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Yield analysis as a function of stochastic plant architectureComputers in Electronic Agriculture, 2017. 138: 105–116. https://doi.org/10.1016/j.compag.2017.04.012.
2015
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A Knowledge-and-Data Driven Modeling Approach for Simulating Plant Growth: A Case Study on Tomato GrowthEcological Modelling, 2015. 312:363-373.
2012
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A virtual plant that responds to the environment like a real one: the case for chrysanthemumNew Phytologist, 2012. 195: 384–395
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An optimal control methodology for plant growth – Case study of a water supply problem of sunflowerMathematics and Computers in Simulation, 2012. 82: 09–923.
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Stochastic modelling of tree annual shoot dynamicsAnnals of Forest Sciences, 2012. 69 (2): 3-165.
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Reconstructing LAI Series by Filtering Technique and a Dynamic Plant ModelIn: Remote Sensing of Biomass – Principles and Applications. 217-228.
2011
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Growth and development simulation based on functional-structural model GreenLab for poplar (Salicaceae)African Journal of Agricultural Research, 2011. 6(13): 3071-3077.
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Some Parameter Estimation Issues in Functional-Structural Plant ModellingMathematical Modelling of Natural Phenomena, 2011. 6: 133-159.
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Correlation between Dynamic Tomato Fruit Set and Source Sink Ratio: A Common Relationship for Different Plant Densities and Seasons? Annals of Botany, 2011107 (5): 805-815. doi: 10.1093/aob/mcq244.
2010
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A stochastic model of tree architecture and biomass partitioning: application to Mongolian Scots pinesAnnals of Botany, 2010. 107(5): 781-792. doi: 10.1093/aob/mcq218.
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Correlation between dynamic tomato fruit-set and source-sink ratio: a common relationship for different plant densities and seasons? Annals of Botany, 2011107(5):805-15. doi: 10.1093/aob/mcq244.
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Optimization of source–sink dynamics in plant growth for ideotype breeding: A case study on maizeComputers and Electronics in Agriculture, 2010. 71(1): 96-105. https://doi.org/10.1016/j.compag.2009.12.008.
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A stochastic model of tree architecture and biomass partitioning: application to Mongolian Scots pinesAnnals of Botany, 2011. 107(5):781-92. doi: 10.1093/aob/mcq218.
2009
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Application of the GreenLab model to simulate and optimize wood production and tree stability: a theoretical studySilva Fennica, 2009. 43(3): 465–487.
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Application of the GreenLab Model to Simulate and Optimize Wood Production and Tree Stability: A Theoretical StudySilva Fennica, 2009. 43(3): 465-487. Doi: 10.14214/sf.201.
2008
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The derivation of sink functions of wheat organs using the GreenLab modelAnnals of Botany, 2008. 101: 1099-1108.
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Analytic Study of a Stochastic Plant Architectural Model: Application to the GreenLab ModelMathematics and Computers in Simulation. Mathematics and Computers in Simulation, 2008. 78: 57-75, 2008.
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Parameter optimization and field validation of the functional-structural model GREENLAB for maize at different population densitiesAnnals of Botany, 2008. 101(8):1185-94. doi: 10.1093/aob/mcm233.
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Does the structure-function model GREENLAB deal with crop phenotypic plasticity induced by plant spacing? A case study on tomatoAnnals of Botany, 2008. 101(8):1195-206. doi: 10.1093/aob/mcm317.
2007
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Parameter Stability of the Functional–Structural Plant Model GREENLAB as Affected by Variation within Populations, among Seasons and among Growth StagesAnnals of Botany, 2007, 99(1): 61-73.
2006
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Building Virtual Chrysanthemum by Calibrating GreenLab Model-a Preliminary StudyActa Horticulturae, 2006. 718: 129-136
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Structural Factorization of Plants to Compute their Functional and Structural GrowthSimulation. Transactions of the Society for Modelling and Simulation International, 82 (7): 427–438.
2004
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A Dynamic, Architectural Plant Model Simulating Resource Dependent GrowthAnnals of Botany, 2004. 93: 591-602
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Modelling Product Quality in HorticultureActa Horticulturae, 2004. 654: 19-30
2000
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Fractal research on red blood cell aggregationClinical Hemorheology and Microcirculation, 2000. 22: 229-236