Maf Roda integrates AI algorithms into its entire range of fruits and vegetables and reinforces automation for cherries.

The cherry, with its short campaign and intense work rhythms, has become one of the best thermometers for measuring the degree of innovation in warehouses. The need for precision classification—minimal differences in color, firmness, or micro-damages—requires systems capable of sustaining high volumes without losing finesse in selection. In this context, Maf Roda has taken a step further in its technological strategy: extending Artificial Intelligence to its entire range of quality solutions for fruits and vegetables, including cherries. The company, with international presence and experience in multiple categories, has designed a clear roadmap: incorporating AI models trained in real warehouse conditions to improve classification consistency and reduce operational variability. The goal is for the system to be able to interpret complex patterns, even when defects are subtle or appear combined, and to do so with simple handling for the operator. This advancement is supported by two ...