Sugarcane Disease Detection and Treatment System Using ML
Muhammad Abdullah
• 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.
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Posted Mar 12, 2024
Developed CNN for 8 sugarcane diseases. Key Python role in Django app. Collaborated with PARC. Addressed sugarcane disease issue, aiding Pakistan's sugar
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