The UNIMI.Cassandra.RiceQuality component implements a collection of approaches with a different degree of empiricism to estimate rice grain quality as a function of the meteorological conditions experienced by the crop during the ripening period. Most of the models implemented present parameters with a clear biological meaning, allowing to characterize different degree and duration of grain susceptibility to damages such as the genetic ability and the optimal range of temperatures for the starch synthesis in the kernel (Okada et al., 2009; Chen et al., 2011). For each simulated variable, the component provides the final value reached at physiological maturity and its daily evolution in the field, from crop physiological maturity to harvest.

 

Quality variables are grouped according to the main effect on qualitative properties of rice grains, as shown below:

• Variables with effect on functional and sensory properties
• Variables with effect on appearance and milling quality
• Variables with effect on milling yield and quality

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