Web Application for the Diagnosis of Chili Leaf Disease and Basic Prevention Methods

Abstract

Chili is considered an important economic crop in Thailand, and it has been widely used with various benefits. In addition, chili has been exported to foreign countries; therefore, chili products must be of high quality. As a result, good care is required to prevent diseases and loss of production. Consequently, this research aimed to develop a web application for the diagnosis of diseases in chili leaves and basic prevention methods and evaluate the satisfaction of users with the developed web application for the diagnosis of diseases in chili leaves and basic prevention methods. The research procedures consisted of four steps: studying and collecting data, constructing the Decision Tree Model, designing and developing the web application system, and evaluating the satisfaction of the web application users. Thirty research participants were purposively selected. The results revealed that the model testing with J48 Random Tree via the training and testing method showed an extremely high level of effectiveness, and the web application users had a high level of satisfaction with the developed web application (= 4.33, S.D.=0.60), showing that the developed web application is easy to use, convenient with comprehensive content regarding explanations about potential diseases in chili leaves, and beneficial for farmers and interested individuals.