Department of Agricultural Sciences | |||||||||||||||
Earliest Possible Year | |||||||||||||||
Duration | One block | ||||||||||||||
Credits | 7.5 (ECTS) | ||||||||||||||
Course Level | Joint BSc and MSc | ||||||||||||||
Examination | Final Examination written examination and oral examination All aids allowed Description of Examination: Oral examination including project presentation. Assessment of individual literature review. Weight: Oral examination including project 80%, literature review 20% 7-point scale, internal examiner | ||||||||||||||
Requirement For Attending Exam | Min. 75 % of all exercise reports submitted. | ||||||||||||||
Organisation of Teaching | |||||||||||||||
Block Placement | Block 2 Week Structure: C | ||||||||||||||
Teaching Language | English | ||||||||||||||
Optional Prerequisites | 250035 Crop Production 280005 Introduction to Biosystems Engineering | ||||||||||||||
Restrictions | None | ||||||||||||||
Areas of Competence the Course Will Address | |||||||||||||||
Basic Science Gain detailed knowledge about principles of closed-loop controlls. Understanding sources of uncertainty including biological and spatial variability. Applied Science and Technology Understand principles of close-loop controlled processes and related control algorithms to optimize complex processes as common today. Knowledge and selection of relevant sensor technologies for data acquisition. Apply principles of sampling and geo-statistics to determine and analyse variability. Knowledge about methods to convert data into information for decision support. Able to analyse and propose automated processes for precision monitoring, controlling and treating complex systems. Ethics&Values Awareness and reflection on environmental and food quality aspects for increased sustainability of food production systems. | |||||||||||||||
Course Objectives | |||||||||||||||
The course provides knowledge and specified skills on methodologies to describe and control processes to improve production efficiency and food quality as well as to reduce negative environmental impacts. Students will be able to apply methods to contol complex production systems in order to optimise production efficiency and sustainability and product quality. | |||||||||||||||
Course Contents | |||||||||||||||
Latest information technology and equipment is used to show how to increase production efficiency by optimising input parameters (fertilisers, chemicals, fodder and energy) and production modes. Teaching subjects are positioning systems (e.g. GPS), geographic information systems (GIS), geo- and sampling statistics, sensor systems, yield logging and mapping, tractor implement systems, precision animal, crop and horticultural production, variable rate technology, traceability, autonomous vehicles and robots. This course is considered as important for students seeking jobs with responsibilities of agricultural management in extension, education, manufacturing, sale, development, testing and research. The course is adapted to fit into the NOVA-University (HU, KVL, NHL, SLU, BH) and NORBE framework with its offered courses. | |||||||||||||||
Teaching And Learning Methods | |||||||||||||||
Central parts of the course subjects are introduced during lectures and exercises. Problem solving skills are gained in the second half of the course during problem oriented project work. | |||||||||||||||
Learning Outcome | |||||||||||||||
Stipulated in "Areas of Competence the Course Will Address" | |||||||||||||||
Course Litterature | |||||||||||||||
Basic textbook chapters, primary and review literature describing principles, research and developments will be provided. | |||||||||||||||
Course Coordinator | |||||||||||||||
Hans-Werner Griepentrog, hwg@life.ku.dk, Department of Agricultural Sciences/Environment, Resources and Technology, Phone: 35333572 Dvora-Laiô Wulfsohn, dw@life.ku.dk, Department of Agricultural Sciences/Environment, Resources and Technology, Phone: 35333395 Torben Bo Toldam-Andersen, tbta@life.ku.dk, Department of Agricultural Sciences/Crop Science, Phone: 35333411 | |||||||||||||||
Study Board | |||||||||||||||
Study Committee NSN | |||||||||||||||
Course Scope | |||||||||||||||
| |||||||||||||||