| 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 have to be submitted. | ||||||||||||||
| Organisation of Teaching | |||||||||||||||
| Block Placement | Block 2 Week Structure: C | ||||||||||||||
| Teaching Language | English | ||||||||||||||
| Optional Prerequisites | Plantproduktion | ||||||||||||||
| Areas of Competence the Course Will Address | |||||||||||||||
| Basic Science Apply basic principles of spatial variability for crop and soil properties in selected areas. Applied Science and Technology Knowledge of relevant sensor technologies for data acquisition. Apply sensors to measure crop and soil properties. Apply principles from geo-statistics to determine and analyse the spatial variability of crop and soil properties and the demands for optimisation of growth conditions. Understand strategies and processes to address heterogeneity by using variable rate technology (application maps). Knowledge of new technologies including robotic systems for precision soil and plant monitoring and treating. Ethics&Values Awareness of potential environmental impacts associated with spatial variable application of agricultural fertilisers and chemicals. | |||||||||||||||
| Course Objectives | |||||||||||||||
| The cource provides the specified skills on methodologies of spatial variable crop production, including technologies for monitoring of conditions, decision on treatments and associated field operations down to the scale of individual plants. | |||||||||||||||
| Course Contents | |||||||||||||||
| Course subjects are: Positioning systems (e.g. GPS), geographic information systems (GIS), geostatistics, sensor systems for crop and soil assessment, yield logging and mapping, tractor implement systems with variable rate application, autonomous vehicles and robots and crop management. 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 KVL semester package "Biosystem Engineering and Precision Farming" | |||||||||||||||
| 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 the project period | |||||||||||||||
| Course Litterature | |||||||||||||||
| Morgan M., Ess D. (1997): The precision-farming guide for agriculturists. 1.edition. John Deere Publishing, Moline, Illinois, USA Supplimentary teaching material | |||||||||||||||
| 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 | |||||||||||||||
| |||||||||||||||