AWARD YEAR
2019
CATEGORY
Community
GOALS
Responsible Consumption & Production
KEYWORDS
Fisheries management, DNA Sequences, artificial intelligence
COUNTRY
Philippines
DESIGNED BY
Chona Camille V. Abeledo, Courtney Anne Ngo and Ma. Carmen Lagman (Practical Genomics Laboratory, De La Salle University)
WEBSITE
https://sites.google.com/view/crabifier/home?authuser=0
Crabifier
Crabifier identifies species of juvenile crabs for efficient allocation of resources in fish ponds.
The system behind Crabifier comes from the idea that differences in the genes have physical counterparts. These differences may not be obvious with the naked eye. The Philippine mangrove crab industry depends on the fattening of juveniles captured from the wild or bought from traders. Out of the three species in the country, the king mangrove crab is preferred due to its fast growth rate and large sizes. Species differences are not obvious at the juvenile stage so fishers compensate by overstocking because they cannot verify what species they have. Fishermen also cannot confirm if the species being sold by traders is what they need. Crabifier determines the species of a crab at the press of a button. It is based on a system using genetic markers to determine species and image analysis to find physical markers. The app is developed using convolutional neural networks. The system is currently for mangrove crabs but can be used for any organism, dependent on the needs of the user