Oleh kerana kelewatan menentukan masalah, pencegahan yang lewat juga membuat pengurusan ditangani dengan cara yang paling buruk. Para petani dikenali sebagai pengguna bukan ahli yang selalu mempunyai masalah dalam mengenalpasti penyakit. Masalah berlaku kerana penyakit mi adalah kurangnya kemahiran dalam mengesan gej ala dalam masa yang singkat. sistem mi, sebuah aplikasi berasaskan web telah dibuat untuk mendiagnosis penyakit mangga. Dengan makiumat bermanfaat yang sedia yang merupakan gejala, sistem mi membantu para pengguna untuk mengetahui penyakit mangga secara terperinci. Sistem pakar telah menemui sepuluh jenis penyakit mangga. Tanaman mangga yang sangat sensitif mempunyai banyak jenis penyakit yang menyerang tanaman mi. adalah sebuah sistem pakar berasaskan web yang dibangunkan untuk mendiagnosis gej ala mangga dan menentukan penyakit tersebut. The knowledge system diagnoses the related symptom and overcome the result base on the matching facts.
A rule based expert system has been applied in this system that act as expertise in this area. Hence, this system was developed to detect and determine the kind of disease in a very short time and quick prevention will take place to manage the problem. Because of the late of determining the problem, late prevention also make the management was handled in worst way. The farmers known to be the non-expert users that always having the problem in identifying the diseases.
The problem occurs due to this diseases was the lack of skill in detecting the symptoms in short time. For developing this system, a web based application has been made for diagnose mango diseases. With the useful information provided that are the symptoms, this system helped the users to get to know the mango diseases in details. This expert system has found ten types of mango diseases.
Mango crops are very sensitive that are many type of diseases attacked this crop. Diagnostic System is a web based expert system that is developed to diagnose the symptoms of mango and determines its diseases. MAY, 2011 PERPUSTAKAAN UNIVERSJTI MALAYSIA PAHANG No.
DIAGNOSTIC SYSTEM (MILDS)Ī report submitted in partial fulfilment of the requirements for the award of the degree of Bachelor of Computer Science (Software Engineering)įaculty of Computer Systems & Software Engineering Universiti Malaysia Pahang
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