The Consumer app’s workshop applet allows you to work with the spectrometer by collecting material data and building analysis applets for your own materials. However, no customized pre-proccessing methods and algorithms are provided.
SCiO Lab offers various filtering and analysis tools which should be used in order to develop a successful and robust model.
According to our records, you have a developer license, hence using SCiO lab tools is highly recommended.
As for the questions:
1. Consistency is terms of measurement conditions is an important key factor for a successful data collection.
As you have suggested, using consistent amount of rice samples (or more precisely consistent layer depth) is recommended, so that the optical path of the reflected signal from each one of the rice samples will be identical.
2. Generally speaking, the differences between the spectrum curves should be visually inspected when reviewing the reflectance spectrum. Different pre-processing methods should be used: “Normalized” is useful mainly for classification models. Sometimes use of both “processed” and “normalized” is needed when there is a variance in the optical path of the samples.
Choosing the right pre-processing method is a trial and error process, it is recommended to try each one of the methods and evaluate the model’s performance accordingly.
I hope it was helpful.
Let me know if you have further questions.
The Consumer Physics Team