Work

Data Driven Biosecurity: Strengthening Global Agricultural Resilience Against Emerging Threats

Year: 2025

Type: article

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.

Source: International Journal For Multidisciplinary Research

DOI: 10.36948/ijfmr.2025.v07i02.43188

Authors: Oluwatosin Adeyeye, Olufisayo Obebe, Adekunle Adeyeye, Samuel Oshikoya

Institution: Kentucky State University

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4410029643