Identification of Environmental Factors in Fruit Disease by Logistic Regression

Vasanth Ragu; Myeongbae Lee (이명배); MEONGHUN LEE (이명훈); A.B.M. Salman Rahman; Park Jang Woo (박장우); Cho Yong Yun (조용윤); Chang-Sun Shin (신창선)

doi:10.34163/jkits.2018.13.5.002

Identification of Environmental Factors in Fruit Disease by Logistic Regression

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2018, 13(5), pp.521-532
DOI : 10.34163/jkits.2018.13.5.002
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Published : October 31, 2018

Vasanth Ragu ¹, Myeongbae Lee ¹, MEONGHUN LEE ², A.B.M. Salman Rahman ¹, Park Jang Woo ¹, Cho Yong Yun ¹, Chang-Sun Shin ¹

¹순천대학교
²국립농업과학원

Accredited

ABSTRACT

Plant diseases are one of the most significance issues in agriculture fields. The diseases destroy fruits and are decreased the production rate. They also decrease the economic growth in worldwide and increase the demand about preventing plant diseases. The major cause of plant diseases is climate changes, weather conditions and environmental factors. To prevent the diseases, we need to identify the plant diseases about corresponding environmental factors. In this study, we analysis the plum data and identify the plant diseases with corresponding environmental factors by using Logistic Regression model. The first process is to identify the number of diseases and its type, and then implement Logistic Regression to predict the diseases by using environmental factors as inputs. Finally, we compare the actual value of diseases with predicted value of diseases, and need to check the accuracy of diseases by using correlation method. We also find the environmental factors for the reasons to forms more diseases. In result and discussion, it would be clearly explained about the plum diseases and their environmental factors.

KEYWORDS

Plum data, Environmental factors, Logistic regression, Correlation method, Disease type.

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* References for papers published after 2023 are currently being built.

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Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

Identification of Environmental Factors in Fruit Disease by Logistic Regression

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* References for papers published after 2023 are currently being built.

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

Identification of Environmental Factors in Fruit Disease by Logistic Regression

ABSTRACT

KEYWORDS

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