dc.contributor.author | Domingo, Leander | |
dc.coverage.spatial | Malaysia | en |
dc.date.accessioned | 2025-09-23T03:20:45Z | |
dc.date.available | 2025-09-23T03:20:45Z | |
dc.date.issued | 2025-06-12 | |
dc.identifier.citation | Domingo, L. C. (2025, June 12). AI-assisted fish feeder cuts labor, waste. The Manila Times, p. B5. | en |
dc.identifier.uri | http://hdl.handle.net/20.500.12174/16780 | |
dc.description | The application of artificial intelligence (AI) in fish farming is viable based on a pilot deployment of fish feeders in Malaysia. The pilot testing of the AI-assisted technology was made possible with a grant from the Grants for Research towards Agricultural Innovative Solutions or Grains of the Southeast Asian Regional Center for Graduate Study and Agriculture (Searca) based in University of the Philippines Los Baños. | en |
dc.language.iso | en | en |
dc.publisher | The Manila Times Publishing Corporation | en |
dc.title | AI-assisted fish feeder cuts labor, waste | en |
dc.type | newspaperArticle | en |
dc.citation.journaltitle | The Manila Times | en |
dc.citation.firstpage | B5 | en |
local.subject.classification | MT20250612_B5 | en |
local.subject.personalname | Abdullah, Ahmad Fikri | |
dc.subject.agrovoc | artificial intelligence | en |
dc.subject.agrovoc | fish culture | en |
dc.subject.agrovoc | aquaculture development | en |