Integrating Molecular Biology and Artificial Intelligence for Sustainable Food Security
Abstract
Global food security is increasingly challenged by climate change, rapid population growth, declining agricultural resources, and the emergence of new plant diseases, necessitating innovative and sustainable agricultural solutions. Molecular biology has transformed crop science through advances in genomics, gene editing, molecular diagnostics, and functional genomics, enabling a deeper understanding of plant traits and stress responses. Simultaneously, Artificial Intelligence (AI) has emerged as a powerful computational tool capable of processing complex biological datasets, predicting crop performance, identifying disease patterns, and supporting precision agricultural decision-making. This review explores the integration of molecular biology and AI as a unified approach to enhancing sustainable food security. It examines how machine learning, deep learning, computer vision, and bioinformatics complement molecular techniques to accelerate crop improvement, optimize resource utilization, improve disease surveillance, and strengthen climate-resilient agricultural systems. The paper further discusses recent advancements, practical applications, existing challenges, ethical considerations, and future research opportunities associated with AI driven molecular agriculture. In addition, a conceptual AI–Molecular Biology Integration Framework is proposed to illustrate the systematic interaction between biological data acquisition, intelligent analytics, predictive modelling, and sustainable agricultural implementation. The review highlights that combining molecular biology with AI has the potential to improve productivity, resource efficiency, and environmental sustainability while supporting resilient food production systems. This interdisciplinary approach offers valuable insights for researchers, policymakers, and agricultural stakeholders seeking to develop intelligent and sustainable strategies for future global food security.