DESIGN AND IMPLEMENTATION OF RICE LEAF DISEASE PREDCTION SYSTEM USING MOBILE APP.

Student: Farida Tukur Nasir
Supervisor: Mr Habib Sharif
HOD: Dr Hassan Bello
Department of Computer Science
Information Comunication Technology
Kano State Polytechnic, Kano, Kano State

Abstract

Abstract Rice is one of the most important staple crops consumed worldwide, and its production is often affected by various leaf diseases that reduce crop quality and yield. Early detection of these diseases is essential for effective management and improved agricultural productivity. However, many farmers find it difficult to identify diseases accurately at early stages due to lack of technical knowledge and access to agricultural experts.

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