Moisture sorption isotherms and thermodynamic properties of safflower seed using empirical and neural network models
Crossref DOI link: https://doi.org/10.1007/s11694-015-9298-4
Published Online: 2015-12-21
Published Print: 2016-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Barati, Masoud https://orcid.org/0000-0002-5588-6158
Zare, Dariush
Zomorodian, Ali
Funding for this research was provided by:
masoud (30$)
Text and Data Mining valid from 2015-12-21