An Optimal Model Prediction for Fruits Diseases with Weather Conditions

• 발행기관: 한국스마트미디어학회
• 저자명: Vasanth Ragu Myeongbae Lee Saraswathi Sivamani Yongyun Cho Jangwoo Park Kyungryong Cho Sungeon Cho Kijeong Hong Soo Lyul Oh Changsun Shin
• 간행물 정보: 『스마트미디어저널』Vol8, No.1, 82~91쪽, 전체 10쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2019.02.28

영문 초록

This study provides the analysis and prediction of fruits diseases related to weather conditions(temperature, wind speed, solar power, rainfall and humidity) using Linear Model and Poisson Regression. The main goal of the research is to control the method of fruits diseases and also to prevent diseases using less agricultural pesticides. So, it is needed to predict the fruits diseases with weather data. Initially, fruit data is used to detect the fruit diseases. If diseases are found, we move to the next process and verify the condition of the fruits including their size. We identify the growth of fruit and evidence of diseases with Linear Model. Then, Poisson Regression used in this study to fit the model of fruits diseases with weather conditions as an input provides the predicted diseases as an output. Finally, the residuals plot, Q-Q plot and other plots help to validate the fitness of Linear Model and provide correlation between the actual and the predicted diseases as a result of the conducted experiment in this study.

목차

I. INTRODUCTION

II. RELATED WORK

III. MATERIALS AND METHODS

IV. RESULTS AND DISCUSSION

V. CONCLUSION

키워드

Poisson Regression Linear Model Weather Conditions lum Data