摘要 : Maintaining the optimum growth rate and estimating the concentration of microalgae are critical in improving microalgae production. An efficient concentration assessment of microalgae is essential for a timely and effective determ... 展开 Maintaining the optimum growth rate and estimating the concentration of microalgae are critical in improving microalgae production. An efficient concentration assessment of microalgae is essential for a timely and effective determination of the harvest period. This study proposes the luminance and viscosity methods to predict the concentration of microalgae. Image analysis was applied to measure the concentration of native microalgae: Desmodesmus sp., Scenedesmus sp., Dictyosphaerium sp., and Klebsormidium sp. The experiments were performed using different concentrations of the dry cell weight (DCW) of these microalgae species. A dual-camera device was used to capture the images of the DCW solution in a flask. For the confirmation of viscosity, a viscometer was used to determine the concentration of microalgae. A comparative analysis was performed between the data from the image analysis and viscosity method. The results from the viscosity method showed a higher accuracy with R-2 = 0.9784 and the luminance method with R-2 = 0.8266. Further investigations revealed that the brightness of the DCW image had a limitation at a specific concentration where the color was unrecognized. The current image processing method has the potential to be applied in an outdoor cultivation facility for real-time data acquisition. Both methods have advantages in terms of required time and experimental costs. The image analysis method provides an alternative way to efficiently monitor the cultivation and harvesting of microalgae. 收起