The big picture: using wildflower strips for pest control
They may be beautiful, but these strips prove pretty deadly for every farmer's mortal enemy: aphids
Science
Dr Latifa Greche
PHENOTYPING COMPUTER VISION SCIENTIST; POST-DOC
Sustainable Soils and Crops
PUBLICATIONS
Email
latifa.greche@rothamsted.ac.ukLinkedIn
Location
Rothamsted Research, Harpenden, AL5 2JQ
Tel
+447833961091
Professional Platforms
ORCID
Google Scholar
Biography
Latifa is a post-doctoral research scientist with a focus on image processing and computer vision. She is using machine learning models and data recorded by the field Scanalyzer to build an automatic high-throughput phenotyping pipeline and then track the growth stages of wheat germplasm. Her research interest concerns analysing and extracting features from 2D imagery, 3D points cloud, and hyperspectral images to provide the main traits of wheat germplasm. Currently, she is studying the development of wheat ear components at a small-scale using a 3D laser scanner as well as some software and libraries to clean, mesh, extract morphological measurements from the 3D scans.
Awards
- 2020 - PhD in computer vision field, USMBA, FSTF, Morocco
- 2014 - BSc computer science, UMI, FSTE, Morocco