Research on Node Detection Algorithm of Tomato Seedlings Based on Digital Image

Abstract

According to a large number of studies, the internode length is sensitive to environmental stress. In the quality testing of tomato seedlings, optimization algorithm is proposed to extract tomato seedling stem node, using line scan algorithm to extract the main stem area, improve the accuracy of the main stem region selection, and finally through the bag of words model extract main stem node, this method has good robustness. Through the test, it is found that the accuracy of main stem node detection is lowest at fourth nodes, which is 81%.These results demonstrate that our method has the ability to evaluate the vigor of tomato seedlings quickly and accurately.