基于缺素信息温室黄瓜营养液灌溉控制系统研究

Nutrient deficiency information by using computer vision technology is applied into control and regulation system of nutrient solution for cucumber crop planted in greenhouse. The features of the color and texture of cucumber leaves that were short of N,K,Fe elements were extracted, and the nutrient deficiency extent and expert advised nutrient values were combined and compared, intelligent controller regulate and control parameters of irrigation system including pump operation time and valve opening angle to determine components of nutrient solution and supplying quantity to meet crop growth and development. Research and practice with cucumber growth in greenhouse indicates that the proposed method reaches better results and good accuracy with nutrient solution irrigation.