Research on simulation model for quality evaluation of strong seedlings coupled with multiple environmental factors in tobacco seedling raising

Puntos clave

• The research aims to develop a simulation model that predicts tobacco seedling quality based on multiple environmental factors.
• Utilized sensors to automate data collection of temperature, humidity, light intensity, and CO2 concentration.
• Constructed a multi-environmental factor coupling growth simulation model for tobacco seedlings.
• Measured growth metrics including plant height and weight during specific growth stages.
• The R-squared value for the simulation model reached 0.9987, indicating a strong fit.
• Internal validation of the real growth model yielded an R-squared of 0.9979.
• External validation using environmental data from different sowing periods resulted in an R-squared of 0.9952.