[Simulation model for cucumber growth and development in sunlight greenhouse]

Area of Science:

• Agricultural Science
• Plant Physiology
• Environmental Modeling

Background:

• Intelligent management of cucumber production requires accurate simulation of growth and development.
• Cucumber growth is influenced by environmental factors like light and temperature.
• Existing models may not fully capture the complex dynamics of greenhouse cucumber cultivation.

Purpose of the Study:

• To develop a dynamic simulation model for cucumber growth and development in sunlight greenhouses.
• To provide technical support for intelligent management of cucumber production.
• To accurately simulate key development periods, leaf area, and organ biomass.

Main Methods:

• Developed a cucumber development module based on the clock model algorithm, using two years of experimental data.
• Established a Leaf Area Index (LAI) module based on the relationship between leaf growth and meteorological factors (temperature, radiation).
• Constructed dry matter and fresh weight simulation modules incorporating photosynthesis, respiration, and organ water content.

Main Results:

• The integrated model accurately simulated key development stages with a coincidence index (D) of 0.79-0.97.
• Simulated Leaf Area Index (LAI) showed high accuracy with D=0.90.
• Simulated dry weights of various organs (root, stem, leaf, flower, fruit) demonstrated high accuracy (D > 0.98).

Conclusions:

• The developed cucumber growth and development model accurately quantifies cucumber growth in sunlight greenhouses.
• The model provides a reliable tool for technical support in intelligent cucumber production management.
• Accurate simulation of development, LAI, and biomass supports optimized greenhouse cultivation strategies.