1. 미소 해충의 자동 영상 인지 시스템 개발에 필요한 기초 자료를 확보하기 위해 화질에 따른 해충의 인지율을 조사하였다. 2. 곤충 영상은 스캐너를 이용하여 300, 600, 900, 1,200, 2,400, 4,800 dpi의 6단계 화질로 획득하였고 곤충 연구자에게 화질에 따른 인지율을 설문 조사하였다. 3. 나방류인 담배거세미나방과 배추좀나방의 경우 모든 dpi 에서 높은 인지율을 보였다. 4. 크기가 작은 포인세티아총채벌레와 담배가루이의 경우 모든 dpi에서 50% 미만의 낮은 인지율을 보였다. 5. 크기가 작은 총채벌레와 담배가루이 인지 시스템 개발에는 100 mm 매크로렌즈를 사용하거나 hand-held 형태의 디지털 현미경이 필요할 것으로 사료된다.
We surveyed the identification rate of insect image on different image qualities through visual judgement by insect researchers. Eight insect species (whitefly, thrips, aphid, parasitoid wasp, lacewing, two moth species and planthopper) were used in this survey. Each of them was caught with a yellow sticky trap, and their image on the trap was scanned. Fifty researchers, who are well acquainted with agricultural pest insects, responded to our survey. Identification rate of small-sized insect like whitefly and thrips was about 50 % even at the highest image quality (4,800 dpi). Middle size insect like parasitoids wasp showed over 90 % of identification rate at 600 dpi. However, relatively big-sized insect like lacewing and tobacco cutworm showed about 70 % of identification rate at 600 dpi. Identification performance for small insects varied and relationship with size of insects did not reveal in this study. Further pre-survey considering for image quality would be necessary before developing an automatic recognition system for small insects.