This Research Topic concerns computational models of plant growth, accounting for plant architectural development and biomass production and partitioning. The interaction between plant architecture and growth contributes to plant plasticity in reaction to the environment and management. The modeling of the Development (Organogenesis) and Growth (Photosynthesis) of computational plants calls for multidisciplinary (Botany, Agronomy, Applied Mathematics, Computer science) will also be explored. Botanical knowledge about the concepts of the architecture of herbaceous and woody plants, as well as Eco physiological knowledge, are required. Research regarding the modeling, calibration, verification or implementation of the above models is welcome.This topic aims to gather contributions from the domain of plant growth models that simulate both plant architecture and functioning. The crop models that compute the stand production at the level of the population without the description of meristem mortality and organ abortion have shown some limitations. Typically, challenges remain in the simulation of leaf area or yield in reaction to climatic conditions (temperature, light, water). To tackle these challenges while keeping all the assets of process-based crop models, the integration of plant architecture is a research direction that still needs to be further explored. It can also provide a visual output of scientific computing of model. Computational plant models that were only concerned with the functioning of an individual plant are beginning to succeed in making the necessary transition to stand. The fast development of phenotyping technologies, with automatic extraction of features (often based on machine learning algorithms), opens access to an extraordinary amount of experimental data, that should support the development of these models. The emergence of the Metaverse also calls for digital plants with realistic growth behaviour in the virtual world.The expectations of submissions for this topic include (but are not limited to):- Modeling the stochastic organogenesis of meristems to compute the number of organs produced during development- Modeling the photosynthesis of the plant- Modeling the sink function of organs- Modeling the scale transition from plant to stand- Identification of the parameters of the plant system- Study of the behaviour of the plant model and its numerical simulation- Data assimilation methodology from plant measurement and parameter estimation- Validation of the model on cultivated plants- Possibilities for further applications (in plant breeding, plant adaptability, optimization, and control of crop itineraries)
This Research Topic concerns computational models of plant growth, accounting for plant architectural development and biomass production and partitioning. The interaction between plant architecture and growth contributes to plant plasticity in reaction to the environment and management. The modeling of the Development (Organogenesis) and Growth (Photosynthesis) of computational plants calls for multidisciplinary (Botany, Agronomy, Applied Mathematics, Computer science) will also be explored. Botanical knowledge about the concepts of the architecture of herbaceous and woody plants, as well as Eco physiological knowledge, are required. Research regarding the modeling, calibration, verification or implementation of the above models is welcome.This topic aims to gather contributions from the domain of plant growth models that simulate both plant architecture and functioning. The crop models that compute the stand production at the level of the population without the description of meristem mortality and organ abortion have shown some limitations. Typically, challenges remain in the simulation of leaf area or yield in reaction to climatic conditions (temperature, light, water). To tackle these challenges while keeping all the assets of process-based crop models, the integration of plant architecture is a research direction that still needs to be further explored. It can also provide a visual output of scientific computing of model. Computational plant models that were only concerned with the functioning of an individual plant are beginning to succeed in making the necessary transition to stand. The fast development of phenotyping technologies, with automatic extraction of features (often based on machine learning algorithms), opens access to an extraordinary amount of experimental data, that should support the development of these models. The emergence of the Metaverse also calls for digital plants with realistic growth behaviour in the virtual world.The expectations of submissions for this topic include (but are not limited to):- Modeling the stochastic organogenesis of meristems to compute the number of organs produced during development- Modeling the photosynthesis of the plant- Modeling the sink function of organs- Modeling the scale transition from plant to stand- Identification of the parameters of the plant system- Study of the behaviour of the plant model and its numerical simulation- Data assimilation methodology from plant measurement and parameter estimation- Validation of the model on cultivated plants- Possibilities for further applications (in plant breeding, plant adaptability, optimization, and control of crop itineraries)