Data Driven Biosecurity: Strengthening Global Agricultural Resilience Against Emerging Threats

Author(s)	Oluwatosin Elizabeth Adeyeye, Olufisayo Andrew Obebe, Adekunle Olaoluwa Adeyeye, Samuel Oluwamakinde Oshikoya
Country	United States
Abstract	Pests, plant pathogens, and zoonotic diseases are becoming increasingly common and severe, posing serious concerns to global agricultural systems and food security. Climate change, international trade, and ecological disruptions compound these dangers by allowing new hazards to spread and arise more rapidly. This research review explores how predictive analytics and bio-surveillance technologies are used to improve agricultural resilience in three different regions: the United States, Africa, and Latin America. According to the findings, the United States leads in advanced infrastructure for integrated bio-surveillance, with AI-driven monitoring systems used in both crop and livestock sectors. Africa and Latin America, despite limited infrastructure, display innovation through certain community-based reporting systems and mobile diagnostic platforms. In conclusion, data-driven biosecurity is an important approach for strengthening global agricultural resilience to future threats.
Keywords	Digital agriculture, Food security, Data-driven approaches, Surveillance systems, Pest and Disease management
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-30
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.43188
Short DOI	https://doi.org/g9g753

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International Journal For Multidisciplinary Research