Employment of artificial neural networks for non-invasive estimation of leaf water status using color features: a case study in Spathiphyllum wallisii
Taheri-Garavand, Amin, Rezaei Nejad, Abdolhossein, Fanourakis, Dimitrios, Fatahi, Soodabeh, Ahmadi Majd, Masoumeh
Published in Acta physiologiae plantarum (01.05.2021)
Published in Acta physiologiae plantarum (01.05.2021)
Get full text
Journal Article
Meat quality evaluation based on computer vision technique: A review
Taheri-Garavand, Amin, Fatahi, Soodabeh, Omid, Mahmoud, Makino, Yoshio
Published in Meat science (01.10.2019)
Published in Meat science (01.10.2019)
Get full text
Journal Article
An artificial neural network approach for non-invasive estimation of essential oil content and composition through considering drying processing factors: A case study in Mentha aquatica
Taheri-Garavand, Amin, Mumivand, Hasan, Fanourakis, Dimitrios, Fatahi, Soodabeh, Taghipour, Shirin
Published in Industrial crops and products (01.11.2021)
Published in Industrial crops and products (01.11.2021)
Get full text
Journal Article
Modeling the kinetics of essential oil content and main constituents of mint (Mentha aquatica L.) leaves during thin‐layer drying process using response surface methodology
Taheri‐Garavand, Amin, Mumivand, Hasan, Fatahi, Soodabeh, Nasiri, Amin, Omid, Mahmoud
Published in Journal of food processing and preservation (01.06.2021)
Published in Journal of food processing and preservation (01.06.2021)
Get full text
Journal Article