Abstract ▼

□ Purpose&Contents
○ The biggest damage to plum production was the falling of fruit by Eurytomidae, which was found in plum and apricots at the Gyeonggi-do, Chungcheong-do, Jeolla-do, and Chinese peach seeds(Hong-ki jeong etc, 2014). According to a survey of 34 fields of 11 cities and counties in

□ Purpose&Contents
○ The biggest damage to plum production was the falling of fruit by Eurytomidae, which was found in plum and apricots at the Gyeonggi-do, Chungcheong-do, Jeolla-do, and Chinese peach seeds(Hong-ki jeong etc, 2014). According to a survey of 34 fields of 11 cities and counties in South Jeollanam-do Pro vince, the fallen of plum ratio was 43.8%, and 69.8% of the fruit that has fallen is caused by the Eurytomidae. The damage caused by Eurytomidae varies significantly depending on fields in the neighboring areas, and the areas with low damage were the areas of Goheung and Gwangyang(Jeollanamdo Agricultural Research&Extension Services, Environment-friendly agriculture research center, 2014).
○ Eurytomidae continue to pass the winter in the nucleus of anuclear fruit that has fallen to the ground, and adult Euryto midae have been founded more than 90 percent between late April and early May. While it is most important to accurately judge the optimum timing to control of Eurytomidae with this ecology, it is difficult to determine the apparent infection of the maturing plum. Under these conditions, they fall back in the non-harvest period. Therefore, it is more difficult to come up with farm measures.
○ So, through monitoring the plum growing environment and size of the plum, the timing of the harvest and control is dete rmined to reduce Eurytomidae damage, which is the largest pest of the plum, and improve plum productivity.

Results
○ Prevention Strategy Model by Monitoring the Growth of Plums and emergence of Eurytomidae
- Based on the established forecast model, the temperature and ground data acquired from actual or meteorological agency data were entered, and the plum size data measured in the images were entered to predict when Eurytomidae appeared in the farm.
○ Prediction Model of Eurytomyidae in Suncheon Area
- A Prediction Model of Eurythomyidae's Appearance Rate by accumulated temperature
√ Function using four parameters in estimating growth y= a-be^-(cxd)
√ The accumulated temperature when the eclosion rate of Eurythomyidae is 50%(함수)
- A Prediction Model of Eurythomyidae's Appearance Rate by plum size
√ Using the 4-parameter weibull function, we estimated the date when the insect's appearance rate reached 50%, asin the model according to the accumulated temperature. Inaddition, it is possible to estimate the size of the plum at that date from the inverse function of the 50% eclosion ratefunction according to the plum size.
○ To monitor the temperature and size of plum growing enviro nment daily, Eurytomidae monitoring system consisting of tem perature sensor and Kinetic2.0 3D camera for 3D image acqu isition, data collection and wireless transmission system, and d ata storage web server was established.
○ Filming was conducted using an independently developed ima ge acquisition program reflecting improvements in previous studies. Results of analysis of plum 3D images are as follows:
- prediction accuracy: 58.5%
- recognition error rate: 0%
- size measurement error rate: 1.23%

□ Expected Contribution
○ On the basis of understanding the growth of plums and the ecology of Eurytomidae pests for the first time in Korea, a comprehensive strategic model for pest control was developed.
○ Selection of the pest control season according to the ecology view of plum growth and Eurytomidae pests. In particular, the real-time measurement of plum size through 3D images will improve time-to-control forecasting.
○ Eurytomidae, a plum pest, cause half of the annual output. T he application of this technology will reduce damage by more than 30%.

(출처 : SUMMARY 8p)

목차 Contents

• 표지 ... 1
• 제 출 문 ... 2
• 보고서 요약서 ... 4
• 국 문 요 약 문 ... 5
• Summary ... 8
• 목차 ... 11
• 제 1 장 연구 개발 과제의 개요 ... 12
• 제1절 연구 개발 목적 ... 12
• 제2절 연구 개발의 필요성 ... 12
• 제3절 연구 개발 범위 ... 26
• 제 2 장 연구 수행 내용 및 결과 ... 28
• 제1절 적기방제 의사결정 모델 수립 ... 28
• 제2절 매실 영상 시스템 구축 및 매실 크기 측정 ... 51
• 제3절 요약 및 결론 ... 76
• 제4절 향후 개선과제 ... 80
• 제 3 장 목표달성도 및 관련분야 기여도 ... 81
• 제1절 : 목표대비 달성도 ... 81
• 제2절 : 정량적 성과(논문게재, 특허출원, 기타)를 기술 ... 81
• 제 4 장 연구 결과의 활용 계획 ... 82
• 제1절 추가연구의 필요성 ... 82
• 제2절 타 연구에의 응용 ... 82
• 제3절 기업화 추진방안 ... 82
• 제4절 현재 추진중인 추가 논문게재 ... 82
• 제5절 산업재산권 출원 사항 ... 82
• 제 5 장 연구 개발 결과의 보안 등급 ... 83
• 제 6 장 국가과학기술지식정보서비스에 등록한 연구시설·장비 현황 ... 84
• 제 7 장 연구개발과제의 대표적 연구실적 ... 85
• 제 8 장 기타사항 ... 86
• 제 9 장 참고문헌 ... 87
• 끝페이지 ... 88