High throughput field phenotyping and vegetation mapping

This course aims to introduce the emerging research fields of high throughput plant phenotyping used for vegetation mapping and plant breeding, with a focus on remote sensing field phenotyping methodologies and related data analysis.

The basic principles of commonly used remote sensing UAV-based imaging methods in high-throughput field phenotyping and vegetation mapping will be introduced together with practical examples. A special focus will be put on giving the students hands-on training in use of field phenotyping methodologies, including gathering data from hand-held devices and UAVs and robots, and analysis of the data to answer biological questions. The objective of the course is to provide the participating students with the basic knowledge and understanding of remote sensing and field phenotyping methodologies and associated data processing as research tools in agricultural and biological sciences.

This is a joint PHOTOSYNTECH and NOVA-funded PhD course to be held physically at NMBU in Ås.

For further information, please contact

Sahameh Shafiee: sahameh.shafiee@nmbu.no

Learning outcome

Participation in lectures and daily learning diaries (2 ECTS)

• knowledge about analysis sensors available for plant phenotyping and vegetation mapping
• knowledge about standard data analysis pipelines for field phenotyping data
• gaining understanding of the opportunities and challenges in experimental design in plant phenotyping

Participation in the workshops (1 ECTS)

• gaining hands on experience in field phenotyping methodologies, image-based data acquisition, and data processing  

Literature study, presentation and lab report as pre and post assignments (2 ECTS)

• gaining deeper understanding of the chosen biological process and chosen technology through own study
• application of gained knowledge in the writing of the data analysis report (post course assignment)

Learning activities

Lectures. The following topics will be covered:

• Field phenotyping methodologies
• Data processing and analysis of UAV images from field trials
• Low-cost phenotyping methods
• Chlorophyll fluorescence technologies in plant phenotyping

Workshops with hands-on training in field phenotyping methods

Journal club: student presentations of pre-assigned literature in groups.

Prerequisites

MSc degree in a relevant field is required. Relevant fields: agriculture, forestry, biological and environmental sciences.

Mandatory activity

Pre-course assignment, active participatioin in journal club, lectures and training activities, writing of learning diary and lab report.

Course dates

June 29th-July 3rd, 2026.

Admission deadline

TBD

Admission requirements

The course is intended for PhD students with basic knowledge in relevant fields of plant breeding, biology and environmental sciences. Students with plant phenotyping related research in their PhD project will get priority.

Students on PhD level have first priority. Master students can be admitted if space is available.

Language

English.

Assessment method

Pass/Fail based on active participation in assignments and workshops, presentation, submission of learning diaries and post-assignment (lab report).

Continous Exam Karakterregel: Passed / Not Passed