crossrefDigital2026-04-01
Early Anomaly Detection in Shrimp Pond Water Quality Using Supervised and Unsupervised Machine Learning Models
Hamilton Villamar-Barros, Julián Coronel-Reyes, Alexander Haro-Sarango
Shrimp aquaculture increasingly depends on precise water quality management, yet most farms still rely on fragmented measurements and qualitative assessments. This study aimed to evaluate whether routine physicochemical data from commercial ponds can reliably discriminate between…