The accuracy of the germination rate of seeds based on image processing and artificial neural networks

Agricultura

Škrubej Uroš¹  Stajnko Denis²  Rozman Črtomir² 

[1] Lokovica 8a, SI-3325 Šoštanj, Slovenia;University of Maribor, Faculty of Agriculture and Life Sciences, SI-2311 Hoče, Slovenia;

关键词: image processing;    artificial neural networks;    seeds;    tomato;   

DOI  :  10.1515/agricultura-2016-0003

来源: DOAJ

【 摘 要 】

This paper describes a computer vision system based on image processing and machine learning techniques which was implemented for automatic assessment of the tomato seed germination rate. The entire system was built using open source applications Image J, Weka and their public Java classes and linked by our specially developed code. After object detection, we applied artificial neural networks (ANN), which was able to correctly classify 95.44% of germinated seeds of tomato (Solanum lycopersicum L.).

【 授权许可】

Unknown