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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
- 학술저널
- 저자정보
- 발행연도
- 2016.1
- 수록면
- 23 - 31 (9page)
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초록· 키워드
오류제보하기
Automatic methods for the detection of plant diseases before hand is very important for absolute fruit protection. By using different data mining techniques we identify the diseases and take preventive measures to protect the fruit. Data mining techniques are the analytical tools that are used to extract the meaningful information from large data bases. This term paper highlights the use of data mining techniques like clustering and classifications to improve protection of fruit from diseases which includes certain parameters like weather conditions like temperature, amount of rainfall, humidity of air and leaf wetness classification technique helps us to identify to which set of category particular observations belong. Clustering technique is used to combine the results occurred.
목차
등록된 정보가 없습니다.
참고문헌 (9)
참고문헌 신청
S. Freilich / 2015 / Systems approach for exploring the intricate associations between sweetness, color and aroma in melon fruits / BMC Plant Biology 15(71)
M. Khanmohammadia / 2014 / Classification of persimmon fruit origin by near infrared spectrometry and least squares-support vector machines / Journal of Food Engineering 142:17~22
J. A. S. Almeida / 2007 / Improving hierarchical cluster analysis: A new method with outlier detection and automatic clustering / Chemometrics and Intelligent Laboratory Systems 87:208~217
G. Fan / 2009 / Determination of soluble solids and firmness of apples by Vis/NIR transmittance / Journal of Food Engineering 93:416~420
R. Feugel / 2004 / A novel approach to quality and authenticity control of fruit products using fractionation and characterisation of cell wall polysaccharides / Food Chem. 87(1):141~150
M. Khanmohammadia / 2014 / Classification of persimmon fruit origin by near infrared spectrometry and least squares-support vector machines / Journal of Food Engineering 142:17~22
J. A. S. Almeida / 2007 / Improving hierarchical cluster analysis: A new method with outlier detection and automatic clustering / Chemometrics and Intelligent Laboratory Systems 87:208~217
G. Fan / 2009 / Determination of soluble solids and firmness of apples by Vis/NIR transmittance / Journal of Food Engineering 93:416~420
R. Feugel / 2004 / A novel approach to quality and authenticity control of fruit products using fractionation and characterisation of cell wall polysaccharides / Food Chem. 87(1):141~150
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