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PNS0222

Spectral techniques for animal, agricultural and veterinary sciences

The PhD course includes an introduction to spectral data acquisition and analysis using hand held, laboratory, airborne (drone) and spaceborne (satellite) sensors. Analysis methods include classification and regression chemometric algorithms. Examples of relevant scientific and commercials applications are included, from the animal/plant tissues level to the field plots and landscape levels.



The students will learn basics skills of spectral measurements and analysis (with a focus on the infrared spectral region) through state-of-the-art lectures, demonstrations and practical cases. Apart from these scheduled activities, the students will perform their own studies on suggested literature to improve their understanding of the subject, and a small individual project that will include (i)

spectral data acquisition, (ii) analyze of these data and (iii) a discussion on the obtained results and related limits. Ideally, the students will create their own dataset during the course or import it from their thesis. However, already acquired datasets will be available if necessary.



Lectures will represent a total of approximately 30 hours, demonstrations 10 hours and practical work 30 hours. The students are expected to spend a minimum of 36 hours on their own studies, including their personal project and presentations as a part of the examination.







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