Mobile application for automated White Spot Syndrome Virus (WSSV) recognition in shrimp

• Main Author: Querol, Lorenzo S.
• Format: text
• Language: English
• Published: Animo Repository 2023
• Subjects: Shrimps > Diseases; Mobile apps; Animal health surveillance; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/etdb_comtech/11; https://animorepository.dlsu.edu.ph/context/etdb_comtech/article/1015/viewcontent/Mobile_Application_for_Automated_White_Spot_Syndrome_Virus__WSSV_.pdf
• Institution: De La Salle University

Shrimp is one of the most important export products of the Philippines, accounting for 20.5% of the country’s exports in aquaculture. Diseases with a high mortality rate, such as the White Spot Syndrome Virus (WSSV), pose a severe risk to the profitability and production of these shrimp farms. Early detection and diagnosis are critical to the rising problem of WSSV outbreaks. Current microbiological methods to detect WSSV require farm managers to bring a shrimp sample to a laboratory. However, because they rely on traditional knowledge and experience, some farm managers are unaware of the symptoms shrimp exhibit after viral infection. This scenario could delay proper disease management or even failure to report suspicion of infection, possibly causing a disease outbreak within the vicinity of the farm. The use of mobile devices has been shown to be effective in disease monitoring and surveillance. It is critical to investigate the role of image-based recognition for preliminary diagnosis at the community level, such as farm managers on-site, in improving the reporting of WSSV. Thus, this research aims to create a mobile application that allows farm managers to identify the potential presence of WSSV.