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PNS0170

Dynamic Modelling of Cropping Systems

The content focus on the operation of the crop model. Participants will learn the principles of modelling cropping systems, inputs, and basic simulations. Aspects such as model calibration, validation, and results interpretation will be discussed.



Learning Outcomes

Course participants are expected to be able to run APSIM using their own data and for specific purposes that will contribute to their PhD project/Thesis. In terms of knowledge, participants are expected to acquire the most advanced theory and latest concepts related to crop modelling and how they can be used to support agricultural decision systems. Regarding skills, after completing the course participants are expected to be able to perform specific modelling tasks connected to problem-solving and decision-making processes. Finally, in terms of competences, participants will have intellectual capabilities to tackle real-life problems related to crop production, agronomic management and environmental questions, developing new knowledge and being able to communicate it.

Syllabus and other information


Syllabus

PNS0170 Dynamic Modelling of Cropping Systems, 4.0 Credits

Subjects

Agricultural Science Crop Production Science,

Education cycle

Postgraduate level

Grading scale

Pass / Failed

Prior knowledge

Admitted as a PhD student.

Objectives

The course will introduce and familiarize PhD students with the operation of a crop model to support their research and allow a detailed understanding of the cropping system and the processes within it. Once the participants are familiar with the crop model, they shall adapt it to their own specific research questions.

Content

The content focus on the operation of the crop model. Participants will learn the principles of modelling cropping systems, inputs, and basic simulations. Aspects such as model calibration, validation, and results interpretation will be discussed. Learning Outcomes Course participants are expected to be able to run APSIM using their own data and for specific purposes that will contribute to their PhD project/Thesis. In terms of knowledge, participants are expected to acquire the most advanced theory and latest concepts related to crop modelling and how they can be used to support agricultural decision systems. Regarding skills, after completing the course participants are expected to be able to perform specific modelling tasks connected to problem-solving and decision-making processes. Finally, in terms of competences, participants will have intellectual capabilities to tackle real-life problems related to crop production, agronomic management and environmental questions, developing new knowledge and being able to communicate it.

Additional information

NOVA course webpage: https://www.nmbu.no/en/students/nova/students/phd-courses/phd-courses-2019/node/35070