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\section{Abstract}  Cacao is a high valued crop that can be processed into products such as chocolate, liquor, and lotion. Philippines is one of the producers of cacao that supplies the world’s increasing demand of cacao products. However, the Philippine Bureau of Agricultural Research reported that farms lose 20\% to 30\% of the cacao pods, and up to 10\% of trees annually due to various cacao pest pests  and diseases. At present, To reduce the damage,  farmers and agricultural technicians regularly monitor the well-being of their crops. However at present they only  rely on visual inspection to assess the degree of  infestation of their crops. This approach introduces crops, resulting to several  errors and inconsistencies due to subjective nature of the assessment procedure. We propose a tool that measures the level of infestation of the cacao pods through image processing techniques and provide a more objective infestation rating.