The combination of data analytics and artificial intelligence (AI) in agribusiness has developed modern agricultural methods, improving productivity, yield, and sustainability. Advanced AI-driven models and data analytics techniques enable precision farming, supply chain optimization, yield prediction, and risk assessment. This chapter studies the role of AI and data analytics in agribusiness, focusing on machine learning, big data analytics, and predictive modeling to improve decision-making. Moreover, it discusses real-world applications, challenges, and future research directions for AI-powered agribusiness solutions. The implementation of these tools has the potential to alter traditional farming practices, ensuring food security and profitable growth.