In the last decades, the agricultural sector development has been oriented to the optimization in planting spaces, seeking to reduce resources and the procurement of the best products with low levels of fertilizers, insecticides, and fungicides, among others. One example of farming are greenhouse hydro-ponic systems, which optimize resources for obtaining a higher density of sowing and the highest performance per unit area is the strawberry cultivation. For the harvest process, the farmers use of the qualitative observation for classifying the strawberry, using that selection process take considerable time that can be optimized. Due to the aforementioned problems, the aim of this project is to develop a strawberries collecting robot prototype in greenhouse hydroponic systems, using artificial vision for identifying the state of ripeness based on reddish tonality of strawberries.
