This chapter discusses the need for the agriculture sector to enhance the sustainability and production due to the rising population on the planet and the climate change. This chapter highlights the transformative potential of incorporating Artificial Intelligence (AI) and High-Performance Computing (HPC) technologies into conventional farming practices. This study is based on review of literature and case studies. The study explores that way data-driven approach optimizes resource use, reduces environmental impacts, and improves decision-making through advanced algorithms, with applications including disease detection, yield prediction, and crop monitoring. It also underscores the ways the technology like IoT devices and smart sensors in the field enables ongoing data collection, generation of a feedback loop that enhances agricultural strategies. The socioeconomic aspects of using AI and HPC in agriculture is also discussed that covers the possibilities for improved food security, job creation, and rural development. The results provided here highlight how this integration has the potential to propel a sustainable agricultural future, guaranteeing the sector’s adaptation and resilience in the face of ever-changing global problems.