There are growing challenges for the agricultural sector because of the rising demand for food and water and the enforcement of sustainable agriculture practices. Traditional irrigation systems condemn water to be wasted, so sophisticated measures are being taken. This review offers an IoT-based drip irrigation system with hyperscaler cloud environments to minimize water consumption while enhancing crop production. It uses different IoT sensors, such as soil moisture sensors, temperature and humidity sensors, water flow meters, and pH sensors, to capture real-time environmental data from the field. They use secure media connections like Long Range Wide Area Network (LoRaWAN), Zigbee, NB-IoT, and Wi-Fi to transfer these data to cloud platforms where irrigation data are processed by different artificial intelligence/machine learning/deep learning algorithms like decision trees, random forest, and SVM to establish predictive models for irrigation management. The system’s architecture consists of three layers: Fine-grained IoT devices for data sensing, a hyperscaler cloud for data storage and processing, and a web-based interface for monitoring and managing the system. Algorithms are trained on both past and real-time sensor data to predict irrigation times based on the type of vegetation grown, the state of the soil, and the weather forecast. This is evidenced by values like water-use efficiency, crop growth rate, and soil moisture levels, which demonstrate the system’s effectiveness following the implementation of the system. Ongoing monitoring of the system’s performance also supports the system’s claims in discouraging water resource waste, increasing crop production yields, and promoting sustainable farming. Other options, for instance, sending real-time alerts through email and self-monitoring of the system’s performance, means that farm managers can make corrections at the right time for increased efficiency. This review demonstrates how hyperscaler and IoT-based irrigation have been impactful and influential in improving water conservation, increasing crop yield, and adopting sustainable farming techniques.