The Internet of Things (IoT), where devices interact and operations are automated and controlled via the internet, has advanced significantly in the digital era. Within agriculture, IoT-based systems provide substantial advantages for crop monitoring and management. As IoT sensors deliver data about farmland and respond according to user commands, the concept of smart agriculture is rapidly gaining importance. This study explores the application of emerging technologies—such as Machine Learning, Deep Learning, IoT, and automation—in agriculture. It examines the tools and systems employed in this domain, along with the potential challenges of integrating technology into conventional farming practices. Both farmers and home growers can benefit from the technological insights offered across the crop cycle.