Global food security is a major challenge due to population growth, climate change and limited natural resources. Artificial intelligence (AI) technologies offer innovative solutions to address these issues by improving efficiency and productivity in the agricultural sector. This article reviews the contribution of AI in supporting food security through applications such as yield prediction, crop health monitoring, water management, and food waste reduction. Several studies demonstrate the use of AI in precision agriculture, which optimizes resource use through real-time data analysis from IoT sensors, satellite imagery, and drones. Innovations such as AI-based automated irrigation systems and smart farming apps help farmers manage water use more efficiently, especially in areas at risk of drought. In addition, the application of AI in vertical farming enables precise environmental control, increasing productivity in urban areas with limited land. The study also highlights the role of AI in reducing reliance on chemical pesticides through early detection systems that enable timely intervention. Despite the potential, the adoption of AI technology in agriculture still faces challenges such as initial investment costs and training needs for farmers. Collaboration between the government, private sector, and research institutions is essential to ensure effective and sustainable implementation of AI in agriculture, so that global food security can be achieved
Irmawati et al. (Mon,) studied this question.
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