Sugarcane Disease Detection and Treatment System Using ML
Muhammad Abdullah
Web Developer
AI Model Developer
• Deep Learning 👉 Developed a deep learning model capable of detecting 8 different diseases in sugarcane.
• Python Development 👉 Played a key role as a Python developer in the construction of a Django application.
• Web Hosting 👉 Successfully deployed the application on PythonAnywhere.
• Agriculture Domain Knowledge 👉 Gained valuable insights into the challenges of the agriculture industry through this project and collaborated with the Pakistan Agriculture Research Council (PARC).
• Problem Solving 👉 Addressed the critical issue of early disease detection in sugarcane.
