Emerging Trends in Food Security: The Critical Role of Artificial Intelligence in Agricultural Productivity Systems

作者：Aremu Charity, Abolusoro Stephen, Ige Sunday, Wale Ayojimi, Oyekale Solomon, O. Taylor, A. Elizabeth, Adegbite, Kehinde, Aniobi Mathias Maduakolam, Oke Funmilayo · 发表于：NIPES Journal of Science and Technology Research · 年份：2025 · DOI：10.37933/nipes/7.4.2025.si256

Due to inefficiencies in production and distribution systems, resource constraints, and environmental degradation, traditional agricultural methods are becoming diminishingly capable and effective in addressing food security challenges. The most important global concern of the twenty-first century research is promoting food security even as the world's population grows, and climate actions increase. Agricultural productivity thrives on timely, optimum and acceptable weather elements. In response, Artificial intelligence has become a trending strategy and tool that uses cutting-edge technologies to improve food systems sustainability, productivity, and efficiency. To facilitate real-time farming and decision-making, artificial intelligence in precision agriculture incorporates data-driven technologies like, the Internet of Things (IoT), satellite imaging, tensiometer, geographic information systems (GIS), remote sensing etc. With the use of these technologies, farmers can efficiently and promptly use farm inputs including water, liquid macro and micro-nutrients (fertilizers), and pesticides based on the unique requirements of the soil and crop. Engaging Artificial Intelligence will promote seamless and smart agricultural production processes, and reduction in environmental hazards with resultant effect on improved food systems. Smart irrigation systems, blockchain-enabled supply chain transparency, AI-based disease and pest detection, and the use of unmanned aerial vehicles (U...