Application and validation of computer vision based nondestructive measurement system for cucumber seedling growth conditions

The possibility of using computer vision technology in greenhouse to monitor the individual cucumber plant growth conditions was studied. Destructive measurement of leaf area and dry weight and fresh weight of plant seedlings and computer vision based nondestructive measurement of these factors were compared and the correlation analysis was made. The R square value between top projected leaf area measured by computer vision and by laser leaf area meter is 0.976, and the ones between top projected leaf area and dry weight and fresh weight of individual plant are 0.874 and 0.914, respectively. The experiment shows that computer vision technology can make a relative accurate prediction of plant growth parameters.