An intelligent multimedia interface for fuzzy-logic based inference in crops

The paper reports an interface designed for three subsystems—the knowledge acquisition subsystem with dynamic disease knowledge base, intelligent disease diagnosis subsystem with object-oriented intelligent-inference model and intelligent tutor for crop disease with audio-visual graphical user web-interface. The paper describes the design features; functionality and development of intelligent multimedia web interface. The results of its evaluation are also presented.A novel approach of rule promotion based on fuzzy logic is used in the system for drawing intelligent inferences for crop disease management. A text-to-speech (TTS) converter is used for providing capability of text-to-talking user interface. It provides the highly-effective interactive user interface on web for live interactions. It helps significantly and gives solutions of plant pathological problems in short spell. The application software is built using the Microsoft .NET framework, ASP.NET web-application framework provided in Visual Studio.NET. The Microsoft Speech SDK (5.1) is used to develop text to voice multimedia interface. The dynamic knowledge base is implemented using SQL server.

► A new integrated intelligent multimedia interface is developed for crops diseases. ► A new fuzzy logic approach – rule-promotion methodology is used in the interface. ► Intelligent inference model is developed as reusable template using O–O technology. ► Highly-effective TTS interface on web serves as an intelligent crop disease tutor. ► Interface is evaluated for 10 design features. Results showed users are satisfied.