Objectives
To develop a mobile app using deep learning (CNNs) that detects peach plant diseases in real-time from peach images and provides instant diagnosis with treatment suggestions.
Socio-Economic Benefit
Helps farmers reduce crop loss, improve yield quality, and lower dependency on expert visits—supporting food security, income stability, and smart agriculture in rural areas.
Methodologies
Used CNNs for image classification, Flutter for app development, and a local SQL database for offline storage.
Outcome
A lightweight, offline-capable mobile application that accurately detects peach diseases, displays symptoms and treatments
Project Team Members
| Registration# | Name |
|---|---|
| CU-2086-2021 | Abdul Wassay |
| CU-2090-2021 | Muhammad Sohail |
| CU-2690-2021 | Asif Shah |
PROJECT GALLERY
Real Time Peach Disease Detection and Diagnosis System
23 Jun, 2025 02:06 pm
Real Time Peach Disease Detection and Diagnosis System
23 Jun, 2025 02:06 pm
Real Time Peach Disease Detection and Diagnosis System
23 Jun, 2025 02:06 pm
Real Time Peach Disease Detection and Diagnosis System
23 Jun, 2025 02:06 pm
Real Time Peach Disease Detection and Diagnosis System
23 Jun, 2025 02:06 pm
