Discriminating the harvesting regions of Philippine coffee and cacao beans using principal component analysis (PCA) and Partial Least Squares - Discriminant Analysis (PLS-DA)

• Main Authors: Tan, Ryan Gabriel T., Cano, Sharlene, Chua, Jack Calvin C.
• Format: text
• Language: English
• Published: Animo Repository 2023
• Subjects: Cacao beans > Philippines; Coffee; Statistics and Probability
• Online Access: https://animorepository.dlsu.edu.ph/etdb_math/29; https://animorepository.dlsu.edu.ph/context/etdb_math/article/1031/viewcontent/2023_Cano_Chua_Tan_Discriminating_the_harvesting_regions_of_Philippine_coffee_Full_text.pdf
• Institution: De La Salle University

Coffee and cacao beans are considered as cash crops in the Philippines; however, they are at high risk of product fraud to increase profitability. Principal Component Analysis (PCA) and Partial Least Square-Discriminant Analysis (PLS-DA) address these issues since they can discriminate the harvestin...