Resumen

GUERRA IBARRA, Juan Pablo  y  CUEVAS DE LA ROSA, Francisco. A Greedy Algorithm for Highlighting of Color Dominance in Tomato Leaves and Fruit Segmentation. Comp. y Sist. [online]. 2025, vol.29, n.1, pp.217-227.  Epub 05-Dic-2025. ISSN 2007-9737.  https://doi.org/10.13053/cys-29-1-5500.

The improvement of agricultural processes in recent years through the application of various technologies, including computational algorithms, has given rise to a field of research called precision agriculture. This field aims to provide the plant with the resources it needs for its development at the right time. Deficiencies of a nutrient element necessary for the development of a plant are mainly manifested in the leaves. In this paper, a greedy algorithm is proposed in order to optimize the segmentation method by color dominance that seeks to emphasize the dominance of the green color present in the leaves and the red of the ripe fruits of tomato plants existing naturally using the RGB color model. The algorithm searches a numerical range for the value that maximizes color dominance, the range is reduced until a stop condition is reached. The objective function to maximize is the average performance when segmenting the pixels of the leaves and fruits. The classification images can be used in the detection of pests, diseases or nutritional deficiencies.

Palabras llave : Optimization; greedy algorithm; segmentation; precision agriculture; computer vision.

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