Smart agriculture has emerged as the central technology in recent years as a solution to these problems faced by farmers due to traditional farming practices. Irrigation, crop prediction, soil moisture, rainfall, environmental condition monitoring and wild animal intrusion detection are integral to agriculture. These Multiple functionalities can be improved by applying the latest technologies, such as the Internet of Things (IoT) and cloud computing. In this paper, we have developed an IoT-based Smart Agriculture Prototype that can perform multiple agricultural functions. Here, we have used five sensors for the parameters: soil moisture, humidity, temperature, rainfall, air pollution, and wild animal intrusion detection. The data collected by the sensors is transferred to the Gateway by Wi-Fi protocol and then uploaded to the cloud platforms, such as ThingSpeak and Blynk, to perform visualization and prediction. The proposed model continuously monitors the field parameters and controls the irrigation process, eliminating the need for constant human monitoring and efforts. The experiment's result showed that in April, the temperature and humidity of the environment continuously fell, and the soil moisture level decreased; rainfall was not detected at that duration. Accordingly, the irrigation process was controlled. The system also monitors the pollution level and animal intrusion detection. The ThingSpeak and Blynk Graphical User Interface displayed all the functionalities’ results graphically. The farmer can remotely monitor and control field activity through mobile and web dashboards.