Diagnosis of Cotton Water Status Based on Image Recognition

This paper tries to find the method of obtaining the water information of cotton population by image recognition technology.The correlation between color parameters of cotton population digital images and water content and water content index were analyzed,and predicted models was established.The results showed there were significant correlations between Hue and Intensity in the HIS color system and water content and water content index at the 0.05 and 0.01 probability levels,respectively.G-R in the RGB system was the best parameter to predict water content and water content index and established regression models.Both of the accuracy of estimated models was about 90.71% and 91.02%.The predicted models was 0.3955+0.0139(G-R)(R2=0.7460**)and-0.0428+0.0223(G-R)(R2=0.8552**).It is feasible to diagnose the water status of cotton population by image recognition technology and it is hopeful to be a new means of obtaining crop water information.