Currently,China's grape irrigation system relies on traditional flood and sprinkler methods,resulting in significant waste of fresh water resources.To address this issue,a grape irrigation decision-making system was designed using Lora microcontroller networking with multiple nodes to establish an irrigation system.Each node utilized deficit regulation theory to control irrigation at different growth stages of grapes through microcontroller programming.Real-time soil moisture data was detected and used for automatic adjustment of soil moisture levels to achieve intelligent irrigation.This innovative approach ensured high-quality grape production while saving manpower and materials,making it highly practical.
Grapesirrigation systemLorasingle-chip computerregulation deficit theory