In greenhouses, Agrobacterium rhizogenes is a bacteria responsible for Hairy Root Disease (HRD) that mainly affects tomatoes, cucumbers and eggplants grown on substrate. Contaminated plants produce excessive roots in and on the slabs surface. In the framework of the C-IPM project C-RootControl, one of the objectives of which is to reduce the symptoms created by the disease, a method for easy and accurate monitoring of the root contamination development of was needed. The usual method was to score from 1 (low) to 5 (high) root development by visual estimation. This method is subject to considerable approximations depending on the operators who carry out the controls in the greenhouse and is time consuming. The proposed method is based on photos of the slabs taken at regular time intervals. The method was applied to 3’600 and 5’184 photos shooted in 2017 and 2018, respectively. An automation of the digitalization of photos has been implemented using a transformation of the RGB raw images into binary images. Processing of binarized images allowed a fast estimation of the percentage of slab occupied by roots. This method, tested on more than 8’000 images, seems to be promising for studies on rhizogenic bacteria on rockwool. This new method has been validated considering: (1) the reference method based on visual estimation of slab occupied by roots (R=0.94), (2) manually analyzed images to estimate the slab occupied by roots (R=0.90) and (3) the effect of operators (R=0.91). Finally, the new method allowed to distinguish the plants infested by Agrobacterium rhizogenes from non-infested plants over the 2 years of trials 2017 and 2018. These results were as good as those obtained with the visual method but a lot of time was saved and approximation due to operators was avoided. Such a new method opens perspective to work on Agrobacterium rhizogenes at a larger scale compared to actual studies by analyzing thousands of samples and reach more consistent and significant results.