About Me/Career
I am a plant scientist with a specialization in crop sciences. My interest at the moment is focused on the intersection of crops and technology in general, and on image analysis and open-field phenotyping in specific.
On this website, I share blog posts on a variety of topics and provide some background information on me and my work.
Education / Experience - Timeline
- Development of autonomous Systems for remote sensing on potatoes
- Multispectral imaging
- https://rapagra.nl/
- AI Meets Agriculture:
- building the largest crop growth dataset for AI in plant sciences
- Paper by the chairgroup regarding there aproach
- Software-Development:
- Clean, geo-locate, and standardize diverse datasets using Python and pandas, ...
- WUR Chair Group for Artificial Intelligence
- Specialization: Crop Science
- Relevant courses:
- Research Methods in Crop Science
- Systems Analysis and Modelling
- Modeling of functional diversity in crop production
- Drones in agriculture
- Programming in Python
- Grade: 1.0 (Geman system)
- GPA: 4.0 (grade translation)
- Relevant courses
- Computational Biology
- Plant Genetics
- Programming in C
- ~ 600 h
- Lab work:
- western blot
- sterile work
- establishment and maintaining cell lines
- life cell imaging
- 3D-printing of cell scaffolds
- Teaching: assistant for practical courses, and tutoring
- Grade: 1.3 (Geman system)
- Cum Laude / with distinction
- GPA: 3.5 (grade translation)
- Major: plant biotechnology
- Relevant courses:
- biosystem engineering
- biostatistics
- imaging methods in lifescience
- crop breeding
- biochemistry
- pedology
- microbiology
- Thesis: “Development of an automated hyperspectral imaging approach for apple russeting quantification" (Grade: 1.0)
- Grade: 1.0 (German system)
- GPA: 4.0 (grade translation)
- Awarded by the GDCh as the best graduate of the year
- Relevant courses
- biotechnological work
- molecular genetic methods
- protein biochemical
- enzymatic methods
Locations of my study
Blog Posts about Career
Modeling the Future of Agrivoltaics: Simulating AV with LEDs
Modeling the Future of Agrivoltaics: Simulating AV with LEDs A Blog Post A...
Expanding the Pipeline: Incorporating Canopy Height and Canopy Temperature
This blog post explores how to expand a drone-based pipeline for crop analysis....
From Drone Images to Insights: Using Neural Networks for Canopy Coverage Detection and Measurement
This blog explores the development of a complete workflow—from drone images to accurate...
Phenotype to Genotype Gap
This report explores the genetic and phenotypic components of ideotypes, emphasizing their role...
At the Intersection of Crops and Technology
Let me explain, what I mean with my motto ("At the Intersection of...