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My wider interest is to develop imaging algorithms that characterize the variability across multiple architectural scales in various crop roots. The goal of my research is to quantify mechanisms underlying the adaption of roots to drought and nutrient availability. Currently I am working on a project to develop machine learning and image processing algorithms to characterize the variability in root hairs from microscopy images.
October 2015 - December 2016
February 2015 - September 2015
- Improving nutrient and water uptake in resource limited soils is a major challenge for agricultural research. - Root hairs are specialized epidermal cells that are important for nutrient uptake from the soil by increasing the root-surface area. - Digital microscopy can record root hairs as images, but has never been used for automated analysis....
The inherent morphology of plants is predetermined by the genetic code that generates seemingly endless variations of organizational patterns. As, such plant morphology is an unresolved mystery to plant biologists, who seek to understand the molecular mechanisms by which such predetermined patterns emerge as a consequence of genes, environments and...
Improving nutrient and water uptake in crops is one of the major challenges to sustain a fast-growing population that faces increasingly nutrient limited soils. Root hairs, which are specialized epidermal cells, compromise up to 70% of the total root surface area. Therefore, it is likely that root hairs are important for nutrient uptake from the so...
Remote sensing of forests with airborne laser scanning has been used increasingly in the last decades. Due to its capability to provide very detailed three-dimensional information on the structure of forests and individual trees it is very suitable to detect changes in forests. However, current change detection methods in this field often cannot ex...
Laser scanning is rapidly evolving as a surveying technique and is not only used to assess the geometrical state of a scene but also to assess changes in that state. Change detection is, however, a challenging application for several reasons. First, laser scanning is not measuring fixed points, such as a total station does, therefore in general, so...
Identification of harvested and fallen trees is a prerequisite for the detection and measurement of changes in forests. This paper presents a three step approach to monitor harvested and fallen trees based on direct comparison of repeated high density airborne LIDAR data. In a first step differences between data sets are obtained from a point to po...
The impact of 3D geometry complexity on the accuracy of simulating radiative, convective and conductive fluxes in an urban canyon was explored. The research involved the collection of meteorological data in an urban canyon in the city of Strasbourg, France, for input into a 3D model called LASER/F, which simulates the aforementioned fluxes. The key...
The impact of 3D geometry complexity on the accura cy of simulating radiative, convec- tive and conductive fluxes in an urban canyon was e xplored. The research involved the collection of meteorological data in an urban canyon in the ci ty of Strasbourg, France, for input into a 3D model called LASER/F, which simulates the aforement ioned fluxes. T...
The Geomatics Synthesis Project (GSP) is an eight-week culminating group project by seven second-year MSc. Geomatics students. The objective was to undertake group and fieldwork through a real-world project with an external organization. In association with Laboratoire des Sciences de L'Image Informatique et Teledetection (LSIIT) at the University...
The overall goal of the proposed research is to quantitatively characterize the response of early root hairs to nutrient stress in Phaseolus vulgaris (L88-57).
The goal of the project is to develop an algorithm to automatically extract individual root hairs from microscopy images. The algorithm will allow to quantify traits such as number, density and length of root hairs.