Computational Fluid Dynamics Modelling of the Microclimate within the Boundary Layer of Leaves Leading to Improved Pest Control Management and Low-Input Greenhouse

This work aims at using the Computational Fluid Dynamic (CFD) approach to study distributed microclimate in leaf boundary layer of greenhouse crops. Understanding interactions this natural habitat plant pests (i.e., leaves), is a prerequisite for their control through targeted climate management sustainable production. The temperature and humidity simulations, inside greenhouse, were performed CFD code which has been adapted simulate activity within each mesh crop canopy. air profiles leaves deduced from local surrounding parameters, based on an analytical approach, encapsulated Used Defined Function (UDF), dynamically linked solver, that forms innovative original task. Thus, model represents new investigate under greenhouses, resolves issue inaccessibility area by conventionnel measurement tools. findings clearly showed (i) contrarily what might be expected, parameters are different greenhouse. particularly visible during photoperiods when plant’s transpiration its maximum (ii) climatic more coupled with surfaces than those air. These results can help developing localized intervention strategies leaves, leading improved pest management. developed will make it possible optimize resources use efficiency.