Cassava Leaves Disease Detection

Apr 2025 - Aug 2025
Cassava Leaves Disease Detection

Tech Stack

  • YOLOv11
  • Streamlit
  • Gemini
  • OpenCV
  • SQLite

Description

This web-based application is a practical solution for the automatic detection of cassava leaf diseases, developed using the YOLOv11 algorithm. The system is designed to help farmers and agricultural experts identify common diseases such as Cassava Bacterial Blight (CBB), Cassava Green Mite (CGM), Cassava Mosaic Disease (CMD), and Cassava Brown Streak Disease (CBSD), in addition to distinguishing healthy leaves. By simply uploading a photo of a cassava leaf, the application instantly analyzes the image and provides a detailed diagnosis, including the disease type and a confidence score. The system also offers comprehensive explanations about each detected disease, its symptoms, and effective handling recommendations. This tool aims to assist farmers in making informed decisions to optimize their crop yield and minimize losses

Features

  1. Image Upload and Take Photo
  2. Disease Detection and Classification
  3. Analysis and Explanation
  4. Confidence Score Slider
  5. Detection History
  6. Downloadable Report

Showcase Project

Cassava Leaves Disease Detection showcase 1
Cassava Leaves Disease Detection showcase 2
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