Application of image processing techniques to automate the seed vigor assessment process in soybean seedlings

Abstract

Seed vigor is a quantitative or qualitative value that describes a seedlot quality based on their growth, giving information of importance in commercial and research areas. A study was performed in order to automate the seed vigor analysis on soybean seedlings, based on digital images captured by a scanner, using the HSV color mode, because it works better than RGB model, thresholding and removing seed area from seedling. The method of transition point identification between hypocotyl and primary root of soybean seedlings showed good results. The work continues in order to find a better way to remove the seed area from seedlings.FAPESP - Proc 06/57900-