The integration of the Internet of Things (IoT), Machine Learning (ML), and Cloud Computing has immense potential to revolutionize the agricultural industry and promote sustainability. By leveraging IoT sensors to capture real-time data on environmental conditions and ML algorithms, farmers can obtain valuable insights and predictions. Cloud computing provides a scalable and cost-effective platform to store and process data. This research presents a comprehensive overview of the opportunities and challenges involved in integrating the IoT, ML, and cloud computing for sustainable agriculture. Various applications of this integration have explored the challenges that need to be addressed and outlined future research directions. This highlights how the integration of these technologies can lead to more efficient and sustainable agricultural practices by providing farmers with real-time data and insights for making data-driven decisions.