The video presents an international webinar commemorating the International Day of Plant Health, emphasizing the development and application of pest and disease prediction models. It highlights how emerging technologies—artificial intelligence, machine learning, neural networks, and remote sensing—enable the integration of diverse data sources (weather, satellite, phenological) to strengthen global plant biosecurity. Case studies from Canada, the United States, and Mexico demonstrate the use of risk maps, early warning systems, and atmospheric models to contain major phytosanitary threats such as wheat rust and Huanglongbing.
