"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...
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).
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...
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...
"One Last month!!! Welcome to submit to our "Foods" Special Issue - "Rice: From Staple Food to Innovative, Safe, Authentic and Healthy Foods". There are already 4 papers published, 1 paper under process and 2 papers to be submitted.
According to the message of the editors, rice is the primary staple food for about half of the world’s population and it provides 20% of the calories consumed...
The TRACE-RICE project is exposed at the Milan Tuttofood fair, highlighting its objectives and the expected impacts. Under the mission of "tracing rice and valorizing side streams along mediterranean blockchain", TRACE RICE offers an innovative solution to fraud and safety challenges focusing on natural, healthy and tasteful rice-based foods by applying new technologies for product traceability...
TRACE-RICE project is on board TUTTOFOOD, the B2B exhibition for the entire agri-food ecosystem. Global and innovative, it is the reference point in the world for producers and distributors of quality products from the entire food and beverage supply chain, who meet during the exhibition buyers such as: distributors, importers, gdo, proximity stores, gourmet stores, food service, Out of Home...
