The digital microscope uses AI algorithms to analyse samples of silkworms and cocoons, identifying early signs of infection or abnormalities that may not be visible to human eye.
At CES 2026, under our theme “Ideas in the Making,” Canon will showcase innovative solutions and concepts leveraging its technologies currently in development. In addition, the exhibit will feature ...
Researchers from CSIRO, Australia's national science agency, have unlocked the most detailed genetic blueprint yet of a major ...
A study led by a University of Calgary researcher has come up with an AI-based early detection system for river-borne pathogens—including whirling disease in trout and salmon.
The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...
The rapid spread of animal diseases and pathogen evolution have long posed significant threats to the healthy development of ...
An artificial intelligence-powered mobile application could help reduce one of commercial pollination’s biggest hidden risk.
Abiotic stress physiology is a critical field within plant science, particularly as climate change and environmental ...
The Associated Press announced today the launch of a unique artificial intelligence-powered search experience on AP Newsroom, the global news agency’s single platform for multimedia content. The ...
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