An example of a phenotypic comparison of four Arabidopsis genotypes carried out by Australian researchers is presented here.
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This week I wanted to repeat the VIS top image segmentation few days ago. It also suddenly dawned on me. When facing the image segmentation task, we usually think of […]
LemnaGrid is a platform for image processing and analysis. It uses Ipp, opencv, and other libraries as backend along with propriatory algorithms and provides graphical interface to the user to […]
Image segmentation on the basis of a HSI color image The ‘HSI to grey converter’ is a useful LemnaGrid tool to convert an RGB image into a more human intuitive […]
Topological skeleton in LemnaGrid: Part V
In the fifth part of our series we will build another grid application to measure leaf angle in corn but use another grid device. Specifically […]
Topological skeleton in LemnaGrid: Part III The ability of LemnaGrid to create a topological skeleton from a shape, allows us to split an imaged plant into its larger constituents: leaf/branch […]
Ge, Yufeng; Bai, Geng; Stoerger, Vincent; Schnable, James C. (2016). Temporal dynamics of maize plant growth, water use, and leaf water content using automated high throughput RGB and hyperspectral […]
Using Machine Learning in LemnaGrid Scale: Field
Sensor: RGB Camera (VIS)
Software / Software Version: LemnaGrid / development 28.04.2017 Subdivided Sensor Data Annotation […]
Partitioning turf images
MxN subimages to analyse regional features
Region-based feature extraction focuses on the local distribution of low level features such as colour and texture. By comparing local features […]
End of May, a group of junior scientists from CEPLAS, a plant science cluster of excellence driven by the universities in Cologne […]