Module

Voraussetzungen

Inhalte

With the range of challenges facing crop production systems, systems analysis and simulation modelling are frequently applied analytical tools to assess improved crop management and improve understanding of how crop systems functioning. Systems approaches represent a scientific concept in which the real world is divided into systems. These systems are captured into models Applied at a range of scales (canopy, (sub-) field, agroecosystem, regional or global), they can be used as scientific tools to test hypothesis of crop behavior, informing and aiding in experimental interpretation. The course consists of three main learning areas: systems dynamics and model development; model performance & model evaluation; model applications.

Lernziele

• describe and analyze agricultural systems using system analysis terms and concepts; • develop a simple dynamic model of a process affecting crop development or growth using the R programming language; • conduct model calibration, evaluation and sensitivity analysis; • design a model based assessment of the performance and sustainability of a cropping system; and • critically reflect on scientific studies reporting simulation results.

Prüfungsleistung

• Report of the project #1, model development: description and schematic of the conceptual model, R-script, discussion (40%) 8 pages an appendix showing R-codes (draft description attached); working in groups of 2 or 3 students • Report of the project #2, model application: description and schematic of the topic selected, R-sript, discussion (40%) 7 pages an appendix showing R-codes (draft description attached); working in groups of 2 or 3 students • Preparation and leading of one group seminar: 30 min discussion on an assigned article presenting a model simulation study (20%) working in groups of 3 or 4 students

Bemerkungen

The module will take place in Summer Semester 2025!