Context
This is an image dataset (JPEG)of papaya fruit. The objective is to predict the ripening of the papaya fruit using digital imaging.
Content
A total of 130 samples from 57 fruits are used for the experiments. These fruits are classified into three stages of maturity (EM1, EM2 and EM3). Some images present more than one acquisition, having more than one image.
Acknowledgements
Department of Food Engineering, University of Campinas (UNICAMP),
Brazil Department of Computer Science, Londrina State University (UEL), Londrina, Brazil
Pereira, Luiz Fernando Santos (UNICAMP) Barbon Junior, Sylvio (UEL) Valous, Nektarios A. (UEL) Barbin, Douglas Fernandes (UNICAMP)
Reference
10.1016/j.compag.2017.12.029
Pereira, L.F.S., Barbon Jr, S., Valous, N.A. and Barbin, D.F., 2018. Predicting the ripening of papaya fruit with digital imaging and random forests. Computers and Electronics in Agriculture, 145, pp.76-82.
Bibtex
@article{
pereira2018predicting,
title={Predicting the ripening of papaya fruit with digital imaging and random forests},
author={Pereira, Luiz Fernando Santos and Barbon Jr, Sylvio and Valous, Nektarios A and Barbin, Douglas Fernandes},
journal={Computers and Electronics in Agriculture},
volume={145},
pages={76--82},
year={2018},
publisher={Elsevier}
}