iamisaackn/AI-Driven-Plant-Disease-Detection-System

The PlantPatrol project is an innovative initiative by a group of dedicated students from the Catholic University of Eastern Africa. # AI-Driven Plant Disease Detection System ## Group Information - **Group Name:** Leaf PlantPatrol - **Supervisor:** Dr. Stanley Mwangi Chege, PhD (Email: stanley.mwangichege@gmail.com) - **Group Members:** - Isaac Ngugi (Group Lead: itsngugiisaackinyanjui@gmail.com) - Naftali Koome - Serena Waithera - Wangeci Njiru - Mark Wema - **Group Slogan:** Your Plants, Our Priority - **Topic:** AI for Climate Change, Agriculture, and Food Security - **Project Title:** AI-Driven Plant Disease Detection System ## Table of Contents 1. Project Overview 2. Project Understanding - 2.1 Problem Statement - 2.2 Stakeholders 3. Installation Instructions 4. Project Structure 5. Dataset Description - 5.1 Key Features of the Dataset - 5.2 Target Variable 6. Objectives - 6.1 Main Objective - 6.2 Specific Objectives 7. Exploratory Data Analysis (EDA) 8. Modeling Overview 9. Validation Results 10. Model Explainability 11. Validation Strategy 12. Conclusion - 12.1 Insights - 12.2 Limitations - 12.3 Recommendations - 12.4 Future Work ## 1. Project Overview The PlantPatrol project is an innovative initiative that leverages artificial intelligence (AI) to address critical issues in agriculture and food security. By creating an AI-driven plant disease detection system, PlantPatrol aims to provide farmers with an accessible, real-time tool for diagnosing plant diseases, thereby enhancing crop health and yield. ## 2. Project Understanding ### 2.1 Problem Statement Plant diseases pose a significant threat to global food security, resulting in substantial crop losses and adversely affecting farmers, particularly those in developing regions. Traditional detection methods often require expert knowledge, are time-consuming, and are inaccessible to small-scale farmers. This delay exacerbates the spread of diseases and reduces crop yields. The PlantPatrol project proposes an AI-driven plant disease detection system that leverages image recognition technology to offer real-time, accurate disease dia …