Current issue
Online First
Archive
Instructions for Authors
Guide for Authors
Peer Review Policy
Research Ethics Policy
Ghostwriting and Guest Authorship
Copyright
Open Access Policy
Plagiarism
About the Journal
Aim and Scope
Scientific Board
Publisher
Editorial Board
Indexing in Databases
Personal Data Protection
Repository Policy
Contact
ORIGINAL PAPER
The classification of maize's kernels with supporting neuronal identification of shape
Journal of Research and Applications in Agricultural Engineering 2008;53(3):14-17
KEYWORDS
ABSTRACT
The aim of work was producing the computer system helping the process of classification of corn kernels using neuronal image analysis. In the project was used method of identification of shapes differences using superformula proposed by John Gielis, permitting on representation of any shape with six independent parameters.
REFERENCES (8)
2.
Tadeusiewicz R., Lula P.: Statistica Neural Networks PL: wprowadzenie do sieci neuronowych. StatSoft Polska, Kraków 2001.
3.
Boniecki P., Olszewski T.: Modelowanie neuronowe wybranych obiektów rolniczych z wykorzystaniem superformuły Johana Gielisa. Journal of Research and Applications in Agricultural Engineering, 2008, Vol. 53(1), str. 22-26.
| eISSN: | 2719-423X |
| ISSN: | 1642-686X |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
