Intelligent Irrigation System for Agricultural Greenhouse Adaptive to Crop Growth Law

Abstract

Greenhouse planting is a key method for increasing the yield of agricultural products in China. The Academy of Agricultural Sciences has conducted extensive research on the water requirements of greenhouse crops during various growth stages. Studies indicate that crops in the germination stage, seedling stage, and other stages of their growth cycle have different water needs. Proper irrigation can significantly enhance both crop quality and yield. To apply the Academy of Agricultural Sciences’ expertise on irrigation during different growth stages to practical farming, and to avoid improper irrigation at specific stages that could reduce crop production and quality, our team has designed an intelligent irrigation system for agricultural greenhouses. This system adapts to the growth patterns of crops by establishing an irrigation model based on characteristic images of each growth stage and irrigation data provided by the Academy. Using image recognition technology, the system accurately identifies the growth stage of crops. It then employs a pre-set irrigation curve and data from humidity sensors to execute precise irrigation through a closed-loop Proportion-Integral-Differential (PID) control system. This ensures optimal water management, leading to improved crop quality and yield.