The Philippine government is unceasingly addressing the difficulties and issues in low crop yield due to Drought. During that time, water must be managed efficiently. This poses a problem since the country’s population is increasing while the food supply is dwindling. In light of these realities, this article proposed a precision agriculture system using IoT to solve this problem. IoT integrates wireless technology and abridges environmental and soil data through WSN regarding the stress condition of farmlands to the farmer, introducing a modern method of farming and help them implement correctional measures. These data are then stored in a local and remote database system and sent through WiFi to an automation device (consisted of a programmable circuit connected to a magnetic latch solenoid) that would regulate water flow in the fields. The system was installed in a pilot site divided into three 12x16 m2 lot in San Ramon, Zamboanga City, wherein 24 sensor-boxes and automation-boxes are deployed over the field and irrigation pipes. The enclosures of these boxes are strategically designed and 3D-printed using ABS plastics to protect the circuity from a harsh environment. The system uses MQTT and HTTP to send information through the Android Application even from a distant location. Neural Network offers an intelligent way of analyzing the sensors’ data into a managed irrigation schedule. The system was proved to be beneficial as a smart farming concept that is scalable and efficient.