비파괴 당도센서와 색상센서를 사용한 빅 데이터 분석 적용 과일 수확시기 예측 시스템 아키텍처 개발

Abstract

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.