科研速览 · Science Skim继续刷下去 · Keep skimming →
◆ Cogent Food & Agriculture2026-01-23· Food security

The intersection of artificial intelligence and food systems: exploring technological breakthroughs and data-driven agriculture

Naseer Ahmed, Rajvinder Kour, Tawseefa Jan, Seerat Sharma, Tajendra Pal Singh, Praneet Chauhan, Sachin Ghanghas, Imran Sheikh, Mohd Rafatullah, Hendrix Yulis Setyawan, Nurul Huda

原始摘要(英文原文)· Original abstract
Food security is an international challenge that is constantly exposed to climate change, rapid population increases, economic inequalities and geopolitical unrest. Thus, new solutions must be developed to address these issues. Artificial intelligence (AI) has become one such solutions and it has helped to enhance different food production, processing and distribution phases. Precision farming can be improved through AI because it allows the efficient management of resources such as water or fertilizers to increase crop yields. AI helps in the monitoring of animal health and optimization of feeding in livestock farming. In addition AI technologies simplify harvesting and enhancement after harvesting with enhanced sorting and grading. AI improves food processing through enhanced quality control and safety and optimizes logistics by improving routes, reducing spoilage and ensuring timely delivery. Another area where AI can be useful in reducing waste is tracking and minimizing food waste at all levels, however AI can also be applied to personalized nutrition services to assist people in making healthier food choices. The implementation of AI in food supply chain can help countries become more efficient and sustainable, governments need to enhance technology through good policies, better infrastructure and extensive access to these technologies.
读原文 · Read the paper ↗

AI 追问PRO

登录后使用 AI 追问

讨论区

登录后参与讨论

相关论文 · Related

The intersection of artificial intelligence and food systems: exploring technological breakthroughs and data-driven agriculture — 科研速览 Science Skim