This journal focuses on the development and application of computational models to understand plant biology and agricultural systems. Research includes process-based crop modeling, functional-structural plant modeling, and the integration of machine learning and remote sensing for predicting plant growth, yield, and responses to environmental factors. Topics also cover metabolic modeling, genomic prediction, and the simulation of plant architecture and physiology under various conditions, including controlled environments and climate change scenarios.
Agronomy and Crop ScienceBiochemistry, Genetics and Molecular Biology (miscellaneous)Plant ScienceModeling and Simulation
Research Topics (OpenAlex)
Greenhouse Technology and Climate ControlPlant Water Relations and Carbon DynamicsPlant nutrient uptake and metabolismGenetic Mapping and Diversity in Plants and AnimalsPlant Molecular Biology ResearchClimate change impacts on agricultureCrop Yield and Soil FertilityGenetics and Plant BreedingLeaf Properties and Growth MeasurementPhotosynthetic Processes and Mechanisms