Research of Statistical Method for the Number of Leaves in Plant Growth Cabinet

Tianjin University of Technology and Education, Tianjin, China

^a Corresponding author: 15222719380@163.com

Abstract

With the continuous decrease of arable land, the emergency of plant growth cabinet can efficiently provide people with more high quality green vegetables. The reasonable density in plant growth cabinet becomes our primary problem. The key to reasonable density is reasonable planting density, that is to say, a large coefficient of leaf area (but not too big) is needed. Vegetable leaf’ quantity and the size of the leaf area can reflect whether the plants are in a good condition. It is the key to a reasonable density. But in the process of calculating vegetable leaf number, a problem is that leaves may block each other, which is not desired in subsequent statistic. Therefore this paper proposes a watershed segmentation based on improved marker control in order to get the number of connected components or the number of leaves. The experiment shows that this method can separate the overlapping leaf images effectively and thus successfully solves the target adhesion phenomenon on the subsequent analysis and measurement of interference problem.