The farmer’s revenue increases have significant effects on the agriculture development. The most
important objective of Fruit Harvest Season Prediction System Architecture suggested in this paper is the
farmer’s revenue increases. To revitalization of the agriculture reduced for today’s high industrialized
society, the Smart U-Agriculture that integrates ICT technology with agriculture, or Smart Farm field is
actively studied. A central parts of this study are providing the best growing environment with real-time
Analysis for the agriculture environments and controlling the related system to increase the crop yields and
reduce the labor. But simply increasing the crop yields and reduce the labor may cause declining the
agricultural price that leads another problems like decreasing the farmer’s revenue and population in rural
areas. To increase farmer’s revenue, not only increase the crop yields, but also produce the high-quality
crops to make a good deal. The most important thing to reap the high-quality fruits is predicting the
perfect harvest season. The standard fruit in this paper is an apple and the standard of harvest season
prediction applied sugar and color. Also, we designed an architecture for a time series chart related to
harvest factors(sugar and color) by collecting data from sensor in real time. It can be applied in similar
Smart Farm System and used standard framework to develop the similar Fruit Harvest Season Prediction
System.