Cohort phenotyping system for plant factory with artificial lighting

A seed cohort phenotyping system for a plant factory with artificial lighting, comprising an integrated control part comprising an operation and control part, a data set input part, a data storage, a machine learning part, an image processing part, a statistical data analyzing part, an association/causal relation derivation calculation part and a verification part,

• wherein the integrated control part provides a two-dimensional distribution of plant traits by non-destructively and continuously measuring plant trait information in a growth process during a germination period, on a basis of image information, environmental factor information, genetic characteristic information and management information inputted from the data set input part and stored in the data storage,
• wherein physiological performance reactions of seeds sowed in an environmentally-controlled closed space during the germination period are continuously measured, and
• wherein a two-dimensional distribution of the environmental factor information, a nutrient solution temperature, a temperature, a vapor pressure deficit, a nutrient solution percentage, a pH and an electric conductivity are continuously measured to reduce labor and working time for automation of production at a plant factory and automation of seed selecting and cultivating operation in a seedling production at the plant factory, improve a germination and produce uniform seedlings.