Embedded Files
The Plant Phenotyping Research Group is dedicated to the acquisition, analysis, and processing of large-scale plant imaging data. In collaboration with La Trobe University and Photon Instrument Systems, the group develops and applies advanced imaging and data analytics techniques to extract quantitative phenotypic traits from plants. This interdisciplinary effort enhances our understanding of plant growth, health, and stress responses, thereby contributing to innovations in precision agriculture and sustainable crop production.
The Plant Phenotyping Research Group is dedicated to the acquisition, analysis, and processing of large-scale plant imaging data. In collaboration with La Trobe University and Photon Instrument Systems, the group develops and applies advanced imaging and data analytics techniques to extract quantitative phenotypic traits from plants. This interdisciplinary effort enhances our understanding of plant growth, health, and stress responses, thereby contributing to innovations in precision agriculture and sustainable crop production.
Stefani Kecman
About: I have completed my Bachelor's studies in the department of Computing and Informatics at the Faculty of Electrical Engineering, University of Sarajevo. During my Bachelor's studies, I worked as a student demonstrator on the courses: Mathematical Logic and Computability, Foundations of Computer Networks and Digital Signal Processing. Currently, I am enrolled as a MSc Computer Science student at the Albert-Ludwigs-University in Freiburg, Germany, specializing in Artificial Intelligence. I worked on projects dealing with autonomous navigation and reinforcement learning (as a part of my Bachelor's thesis), computer vision applications in plant phenotyping (in partnership with La Trobe University in Australia) and in solar physics (at the Institute for Solar Physics KIS - Freiburg). I am passionate about interdisciplinary applications of deep learning and computer vision. Furthermore, I am a member of the Association for the Advancement of Science and Technology (ANNT) BiH, where I participate in the projects of the BH Academic Directory and the Project of Student Research (PSI). More info: https://www.linkedin.com/in/stefani-kecman-33b3a127b/ and https://scholar.google.com/citations?user=6R7OXr0AAAAJ&hl=en
Stefani Kecman
About: I have completed my Bachelor's studies in the department of Computing and Informatics at the Faculty of Electrical Engineering, University of Sarajevo. During my Bachelor's studies, I worked as a student demonstrator on the courses: Mathematical Logic and Computability, Foundations of Computer Networks and Digital Signal Processing. Currently, I am enrolled as a MSc Computer Science student at the Albert-Ludwigs-University in Freiburg, Germany, specializing in Artificial Intelligence. I worked on projects dealing with autonomous navigation and reinforcement learning (as a part of my Bachelor's thesis), computer vision applications in plant phenotyping (in partnership with La Trobe University in Australia) and in solar physics (at the Institute for Solar Physics KIS - Freiburg). I am passionate about interdisciplinary applications of deep learning and computer vision. Furthermore, I am a member of the Association for the Advancement of Science and Technology (ANNT) BiH, where I participate in the projects of the BH Academic Directory and the Project of Student Research (PSI). More info: https://www.linkedin.com/in/stefani-kecman-33b3a127b/ and https://scholar.google.com/citations?user=6R7OXr0AAAAJ&hl=en
Report abuse