Remote surveillance for emergency animal disease using artificial intelligenceExport / Share Share this record       Export this recordStewart, P. (2026) Remote surveillance for emergency animal disease using artificial intelligence. In: 2026 NBRUC conference handbook : Proceedings of the Northern Beef Research Update Conference.
Organisation URL: https://dpi.primo.exlibrisgroup.com/permalink/61DOAAF_INST/1km05pd/alma991000590765605056 AbstractA Department of Primary Industries (DPI) collaboration with technology companies Infarm and ThinkDigital has developed a remote surveillance system and mobile application that uses artificial intelligence (AI) to help producers identify signs of emergency animal diseases lumpy skin (LSD) and foot and mouth (FMD), together with endemic issues such as ticks and buffalo fly. The national economic impact of an LSD incursion is estimated at $7.4 billion in the first year (DAFF 2023) and a multi-state outbreak of FMD could cost up to $80 billion (ABARES 2022). Buffalo fly and cattle tick are estimated to cost the cattle industry $304.6 million annually in lost production and control costs (Shephard et al 2022).
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