| Department of Agricultural Sciences | |||||||||||||||
| Earliest Possible Year | |||||||||||||||
| Duration | One block | ||||||||||||||
| Credits | 7.5 (ECTS) | ||||||||||||||
| Course Level | Joint BSc and MSc Fits to both BSc and MSc level and provides flexibility to the different study programmes | ||||||||||||||
| Examination | Final Examination written examination and oral examination All aids allowed Description of Examination: Evaluation of project report, project presentation and associated oral examination. Assessment of individual literature review. Weight: Project report including oral examination 80% Literature review and presentation 20% 13-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 | Plantproduktion, Introduction to Biosystems Engineering (IBE) | ||||||||||||||
| Areas of Competence the Course Will Address | |||||||||||||||
| Basic Science Understanding sources of uncertainty including biological and spatial variability. Applied Science and Technology 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. | |||||||||||||||
| Course Objectives | |||||||||||||||
| The course provides knowledge and specified skills on methodologies to control processes to improve production efficiency and food quality as well as to reduce environmental impacts. | |||||||||||||||
| 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 and crop 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. | |||||||||||||||
| 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 Henrik Have, hha@kvl.dk, Department of Agricultural Sciences/Environment, Resources and Technology, Phone: 35283571 Dvora-Laiô Wulfsohn, dw@life.ku.dk, Department of Agricultural Sciences/Environment, Resources and Technology, Phone: 35333395 | |||||||||||||||
| Study Board | |||||||||||||||
| Study Committee NSN | |||||||||||||||
| Course Scope | |||||||||||||||
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