This paper is focused on the implementation of a smart farming system. It should assist farmers to maintain the quality of farming products, farming production and farming market stability related to consumer. The concept of the project is to read the moisture condition inside the farming soil and to be able to interpret the data for condition monitoring. A high precision moisture sensor is placed at both equipment legs to penetrate the soil and to take the soil moisture reading. For this project, two methods were used to test the soil moisture, i.e., the Blynk App and ThingSpeak. The problem statement in this project is the connection between the product or circuit to devices or phone. By using the Blynk app and ThingSpeak, these methods showed that the sensor will detect that the soil is dry and transfer the information to the Blynk app and ThingSpeak for the users to see. The smart farming system will give an instruction to water the plant when it is in a red zone which means that the solid is in a dry state. A notification will be received by the users to tell them that they need to water their plant. If the users are not paying attention to the gauge before, the notification will attract their attention to look at the plant now. For the Blynk app, the Arduino serial monitor also will give an instruction to the consumer to stop watering when the soil is wet enough. ThingSpeak will record the data that is displayed in a graph. ThingSpeak and Blynk app are IoT analytics platform services that will give advantages in this project.