Introduction to the control system of leafy vegetable fully automatic plant factory

The fully automatic plant factory control system for leafy vegetables is the key to ensuring the efficient and stable operation of the plant factory. The main functions are as follows:

Environmental parameter monitoring and control: Real-time monitoring of environmental data through sensors such as temperature, humidity, light, and CO₂ concentration, and automatic adjustment of related equipment using the central master terminal or intelligent algorithm. For example, the lighting system intelligently sets the red and blue light ratio and light and dark cycle of the LED light source according to the plant growth stage and time period; in terms of temperature and humidity, when it exceeds the set range, the air conditioning, ventilation, dehumidification or humidification equipment is automatically turned on.

Precise management of water and fertilizer: The fertilizer system mixes nutrient solution in proportion, and through stratified liquid supply and recycling, it cooperates with EC/pH/water level sensors for real-time monitoring to ensure that the composition and concentration of the nutrient solution are appropriate, while avoiding waste and pollution.

Automated production process control: covers sowing and seedling raising, automatic transplanting, daily management, automatic harvesting and other links. For example, integrated operation is completed during sowing, transplanting is efficiently completed through equipment such as automatic seedling lifters and conveyor belts, and robotic arms and transport vehicles work together during harvesting.

Remote monitoring and management: supports remote monitoring of equipment status, parameter adjustment, and growth data through mobile phones, computers, and other terminals. It can also realize cluster management of multiple factories or planting areas, making it convenient for managers to grasp the situation and make decisions anytime and anywhere.

Pest and disease warning and prevention: By monitoring plant growth status and environmental data, combined with image recognition technology, timely detect signs of pests and diseases, early warning and take prevention and control measures, such as releasing natural enemies and adjusting environmental parameters.

Data analysis and optimization: Collect and analyze data at various stages of plant growth, explore potential laws, optimize planting plans and environmental control strategies, and improve yield and quality, such as analyzing the optimal growth conditions of different varieties and batches of leafy vegetables.