Assessment of germination rate of the tomato seeds using image processing and machine learning

U Škrubej, Č Rozman, D Stajnko - European Journal of Horticultural …, 2015 - pubhort.org
This paper describes a computer vision system, based on image processing and machine
learning techniques, which was implemented for automatic assessment of germination rate
the tomato seeds (Solanum lycopersicum L.). The entire system was built using the open
source applications ImageJ, WEKA and their public Java classes and was linked by a
specially developed code. No expensive commercial software was used. Several machine
learning classification algorithms, Naive Bayes classifiers (NBC), k-nearest neighbours (k …