This research survey outlines a novel approach to modernize agricultural practices and address challenges in sustainability and productivity using Internet of Things (IoT), Machine Learning (ML), and Deep Learning (DL). The project seeks to develop an IoT-based sensor network for real-time data collection, apply ML algorithms for predictive analysis, and leverage DL models for advanced agricultural insights. It aims to enhance crop yield prediction, improve disease detection, and optimize resource use, thus promoting sustainable agriculture. Expected outcomes include improved crop yields, advanced pest control, resource optimization, and an open-source toolkit for wider application