"Use of Artificial Neural Network Model for Rice Quality Prediction Based on Grain Physical Parameters" is the new article published under the TRACE-RICE project. The main goal of this study was to test the ability of an artificial neural network (ANN) for rice quality prediction based on grain physical parameters and to conduct a comparison with multiple linear regression (MLR) using 66...
One more TRACE-RICE poster presented, now at the Spanish Cereal Chemist Association Workshop, for disseminating the results.
Sushi has become a worldwide consumed exotic dish, due to its flavor and texture, provided by the Koshihikari rice and the sushi seasoning (vinegar, sugar and salt)...
TRACE-RICE team will be present at "Dare2Change, Innovation- Driven Agrifood Business" (november 18-19) and will present the following posters:
‘Trace-rice, Tracing rice and valorizing side streams along Mediterranean blockchain’
‘Effect of phytic acid on the viscosities and starch hydrolysis of rice varieties’
‘Artificial neural networks vs partial least squares modelling for rice...
The TRACE-RICE team was present at "Dare2Change", Innovation- Driven Agrifood Business with the exibition of four posters:
"Trace-rice, Tracing rice and valorizing side streams along Mediterranean blockchain"
"Effect of phytic acid on the viscosities and starch hydrolysis of rice varieties"
"Artificial neural networks vs partial least squares modelling for rice quality...
PRIMA celebrates the Day of the Mediterranean in November in collaboration with the Union for the Mediterranean (UfM).
16th November marks the International Whole Grain Day. A live webinar with experts and key opinion leaders in the field from around the world will be held on the same day. Registration is FREE OF CHARGE and is already open - discover the programme and sign up today
Join the Whole Grain Initiative and a host of global leaders to discuss how the...