The Irrigation Vertical Controller capstone project's purpose is to find a cost-effective way to monitor and water the garden through the mobile device. We also aim to make an effective watering system using a scheduling system that utilizes weather information from the microcontroller. A plant will not grow well if it experiences scarcity or excess water, which is worse if we were to add nutrients into the water. Commercial sensors are very costly for this purpose, making it difficult for the gardener to incorporate this kind of device into their gardens. However, multiple low-cost sensors can be attached to nodes to introduce low-cost irrigation control and agricultural monitoring systems. This project finds the best solution to find the most sufficient and cost-effective smart irrigation system that satisfies the top basic need for a smart garden with minimal power, size, and monetary cost. By combining the ability to use Application Programming Interface (API) from the raspberry PI with decent computation ability, we can get the current weather information in real-time along with storing historical sensor data on the database. The strongest point is the ability for Raspberry Pi to connect to the internet to get data from computers and even act as a server of its own (Flask). All this information can be used to control water output and nutrient values, lightning option. As the Raspberry Pi is connected to the Internet, we can use a large database of a plant to personalize each irrigation system for each plant. The project is being set up using the Flask framework, we can bring different functionality through (general purpose input/output) GPIO, which is a python module to connect different physical hardware accessories such as temperature, humidity, and ph. Sensor and display all of them on the web.