Farmers using conventional sprayer system are exposed to pesticide poisoning and soil pollution due to pesticide application. In order to reduce this problem, the effective sprayer system is required. In this paper, we propose development of intelligent sprayer system using tree recognition. This intelligent sprayer system consists of an image recognition module, a remote control, a sprayer system, an air blower, and a control module. It is possible to spray pesticides automatically and manually through remote control using cameras and controls. We conducted a total of four experiments in tree recognition experiment, test of attachment and water sensitive papers, measurement of pesticide consumption, and measurement of worker exposure. The test results showed that the consumption of pesticides could be reduced while giving the same effect as conventional controls.

Abstract
1. 서 론
2. 지능형 방제기 시스템 구성 및 제작
    2.1 지능형 방제기 시스템 구성도
3. 실험 결과
    3.1 과수 인식 실험 결과
    3.2 사과나무에 감수지 부착 및 살포 결과
    3.3 농약 소비량 측정 결과
4. 결 론
References

• 홍형길(KIRO, Andong) | Hyung Gil Hong Corresponding author
• 우성용(KIRO) | Seong Yong Woo
• 송수환(KIRO) | Su Hwan Song
• 오장석(KIRO) | Jang Seok Oh
• 윤해룡(KIRO) | Haeyong Yun
• 서갑호(KIRO) | Kab Ho Seo
• 권순욱(Sjprosumer) | Soon Wook Kwon
• 이기용(Department of Mechanical Engineering Education, Andong National University) | Ki Yong Lee
• 이장창(Department of Mechanical Engineering Education, Andong National University) | Jang Chang Lee
• 조희근(Department of Mechanical Engineering Education, Andong National University) | Hee Keun Cho