This shareable PDF can be hosted on any platform or network and is fully compliant with publisher copyright.
This publication has not yet been explained in plain language by the author(s). However, you can still read the publication.
If you are one of the authors, claim this publication so you can create a plain language summary to help more people find, understand and use it.
This page is a summary of: Evaluating the potential of artificial neural network and neuro-fuzzy techniques for estimating antioxidant activity and anthocyanin content of sweet cherry during ripening by using image processing, Journal of the Science of Food and Agriculture, June 2013, Wiley,
DOI: 10.1002/jsfa.6202.
You can read the full text:
The following have contributed to this page
