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\section{Abstract}  The Philippine Bureau of Agricultural Research reported that farms lose 20\% to 30\% of cacao pods, and up to 10\% of trees annually due to various cacao pests and diseases. To reduce the damage, farmers and agricultural technicians regularly monitor the well-being of their crops. But at present they rely on visual inspection to assess the degree of infestation of their crops, resulting to several errors and inconsistencies due to the subjective nature of the assessment procedure. To improve the inspection procedure, this research develops a framework for detecting and segmenting extended  the infected part work  of the Dubey et al. \cite{dubey2013infected}, on infected  fruit part segmentation using K-Means algorithm,  to measure create a framework for measuring  the level of infestation on the cacao pods.Giving a more accurate assessment for precise treatment dosage and decision support for managing cacao diseases.  \todo{Discuss Methodology and Results}  %%This tool is intended to provide a quick, accurate, and objective evaluation of cacao pods requiring minimal human interaction.%%