Mathematical models of greenhouse crop growth (e.g. dry matter partitioning, leaf area, leaf area index, yield, economics etc.) and microclimate (e.g. solar radiation, temperature, relative humidity, CO_2 concentration, vapour pressure deficit, transpiration etc.) can be successfully utilized for quantification of greenhouse plant growth and microclimate through desired inputs. Theoretical models can be developed using energy (or heat) and mass balance approaches through integration of different heator mass transport process such as conduction, convention, radiation transpiration and others. On the other hand experimental models can also be developed using experimental data through different methods one of which is multiple regression technique fordescribing plant growth and response with respect to subjected environmental conditions. The developed crop growth and microclimate models can be used accurately for further development in crop production system in relation to environmental condition around the plants with a significant saving in energy and time. The model output would be helpful in monitoring and offering optimal plant growth conditions which in turn can help in irrigation and fertigation management of the crop grown.
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