Proximal Sensing and Data Analysis for Agricultural Products

Knowledge of the theory of the main agricultural products optical properties and of non-destructive analysis techniques. Knowledge of the main categories of optical instruments available on the market. Knowledge of the main multivariate data processing techniques. Provide skills for a practical use of the instrumentation and for data interpretation to better manage the pre- and post-harvest phases.

Acquire skills to use benchtop and portable optical instrumentation. Correctly acquire optical data on agricultural samples. Acquire skills to extract useful information from multivariate data and to calculate classification and quantitative predictive models. Perform multivariate statistical analysis using specific software. Manage modeling output to undertake decisions and for the correct management of production.