An Optimal Model Prediction for Fruits Diseases with Weather Conditions
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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 usingless agricultural pesticides. So, it is needed to predict the fruits diseases with weather data. Initially, fruitdata is used to detect the fruit diseases. If diseases are found, we move to the next process and verify thecondition of the fruits including their size. We identify the growth of fruit and evidence of diseases withLinear Model. Then, Poisson Regression used in this study to fit the model of fruits diseases with weatherconditions as an input provides the predicted diseases as an output. Finally, the residuals plot, Q-Q plotand other plots help to validate the fitness of Linear Model and provide correlation between the actual andthe predicted diseases as a result of the conducted experiment in this study.
Abstract
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 usingless agricultural pesticides. So, it is needed to predict the fruits diseases with weather data. Initially, fruitdata is used to detect the fruit diseases. If diseases are found, we move to the next process and verify thecondition of the fruits including their size. We identify the growth of fruit and evidence of diseases withLinear Model. Then, Poisson Regression used in this study to fit the model of fruits diseases with weatherconditions as an input provides the predicted diseases as an output. Finally, the residuals plot, Q-Q plotand other plots help to validate the fitness of Linear Model and provide correlation between the actual andthe predicted diseases as a result of the conducted experiment in this study.
참고문헌 (25)
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