Artificial Intelligence (AI) is emerging as a transformative force in agriculture, offering innovative solutions to global challenges such as food security, climate change, and sustainable resource management. This chapter explores the synergistic integration of AI with Internet of Things (IoT) technologies and biotechnology to revolutionize modern farming practices. AI enables accurate crop prediction, early disease diagnosis, and real-time yield optimization through the use of machine learning algorithms, big data analytics, and computer vision. These capabilities allow farmers to make informed, data-driven decisions that improve productivity while minimizing environmental impact. Precision agriculture benefits significantly from the AI-IoTbiotechnology convergence, where sensor networks, drones, and satellite imagery feed data into intelligent systems for precise monitoring and intervention. Biotechnology advances, such as gene editing and climate-resilient crops, are further enhanced by AI-driven analysis. The chapter also explores the future of autonomous farming systems that incorporate robotics, AI, and genetically optimized crops to build resilient and adaptive food production systems. By analyzing complex environmental and genetic data, AI contributes to the creation of smarter, more efficient, and ecologically responsible agricultural systems. This chapter positions AI not only as a technological innovation but as a critical enabler of sustainable agriculture, with the potential to meet global food demands while conserving resources and supporting climate-resilient practices.