For more than 12 years, ILVO uses image analysis to assess shape, colour and texture of plants and plant parts. Examples of past research are the development of grading algorithms for a grading machine of evergreen azalea, feasibility studies for grading machines, assessment of the shape of roots and leaves (industrial chicory, tuberous begonia, evergreen azalea), colour assessment of flower colour (tuberous begonia, evergreen azalea), assessment of the shape and texture of seeds (flax, Lolium, rye, wheat, barley), and assessment of whole plants in relation to time (phenomics).
Assessment of shape, shape variation (using Elliptic Fourier Descriptors), size, compactness of plant parts and plants, determination of colour (average colour, colour variation) of flowers but also related to pigmentation of leaves (chlorophyll content, anthocyanins), counting seeds and objects are all possible. Support can be provided by taking images or making a setup for taking images and by the analysis of the images. Often images are taken under controlled conditions, which ensures a stable light environment and background. These assessments can be done on any plant part.
In addition, also whole plants can be phenotyped using image analysis (phenomics). This can also be done in field trials.
Ontwikkeling sorteeralgoritmen voor een sorteermachine voor azalea (2000)
Lootens P., Van Waes J. & Carlier L. (2007). Evaluation of the tepal colour of Begonia x tuberhybrida Voss. for DUS testing using image analysis. Euphytica, 155, 135-142.
Lootens P., Van Waes J. & Carlier L. (2007). Description of the morphology of roots of Chicorium intybus L. partim by means of image analysis: comparison of elliptic Fourier descriptors and classical parameters. Computers and Electronics in Agriculture, 58, 164-173.
De Keyser E., Lootens P., De Riek J. & Van Bockstaele E. (2009). Flower colour as a model in azalea for integration of phenotype, genotype and gene expression. Acta Hort., 836, 49-54.