  Colombia has a privileged geographical location which makes it a cornerstone
and equidistant point to all regional markets. The country has a great
ecological diversity and it is one of the largest suppliers of flowers for US.
Colombian flower companies have made innovations in the marketing process,
using methods to reach all conditions for final consumers. This article
develops a monitoring system for floriculture industries. The system was
implemented in a robotic platform. This device has the ability to be programmed
in different programming languages. The robot takes the necessary environment
information from its camera. The algorithm of the monitoring system was
developed with the image processing toolbox on Matlab. The implemented
algorithm acquires images through its camera, it performs a preprocessing of
the image, noise filter, enhancing of the color and adjusting the dimension in
order to increase processing speed. Then, the image is segmented by color and
with the binarized version of the image using morphological operations (erosion
and dilation), extract relevant features such as centroid, perimeter and area.
The data obtained from the image processing helps the robot with the automatic
identification of objectives, orientation and move towards them. Also, the
results generate a diagnostic quality of each object scanned.
