지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.10
- 수록면
- 1,604 - 1,609 (6page)
이용수
초록· 키워드
오류제보하기
Nowadays autonomous robots are used in many filed of agriculture for increasing efficiency, and especially reducing the cost of the scarce human labor. Mobile ground robot and flying drone can be used to survey the farmland collecting necessary information such as ambient and crop conditions, soil fertility, pest and disease, etc. In this work, we have implemented an electronics nose (e-nose) based on metal oxide gas sensors installed on a mobile robot for detection of organic volatile compounds contained in the soil surface to examine the fertility of soil. Farmers can use such information to manage crops fertilizing or watering. To demonstrate this idea, we have mapped the soil volatiles at different places and having different types of soil, using laboratory-made portable e-nose and mobile e-nose robot. Therefore, the experiment was separated into 2 parts. The first part was to collect soils from different places and to
measure the soil volatiles using portable e-nose that has eight metal-oxide gas sensors, in order to classify and confirm the difference between each sample. Secondly, the array of six gas sensors was then installed on a semi-autonomous six-wheeled robot chassis in order to measure real situations of soil surface located at four different places. It was found that both portable and robotized e-noses can identify and confirm the difference of soil volatiles when using principal component analysis (PCA) as pattern recognition.
measure the soil volatiles using portable e-nose that has eight metal-oxide gas sensors, in order to classify and confirm the difference between each sample. Secondly, the array of six gas sensors was then installed on a semi-autonomous six-wheeled robot chassis in order to measure real situations of soil surface located at four different places. It was found that both portable and robotized e-noses can identify and confirm the difference of soil volatiles when using principal component analysis (PCA) as pattern recognition.
목차
Abstract
1. INTRODUCTION
2. EXPERIMENTAL METHODS
3. RESULTS AND DISCUSSION
4. CONCLUSION
REFERENCES
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