Back to Agents
ai-crop-disease-detection-agent
aayush-1709 July 26, 2025
11 copies 0 downloads
This is a full stack web app, which Includes Frontend (HTMLCSS,JS), Backend(Flask), Machine Learning Model, Artificial Intelligence(Gemini), Firebase(Google)
Agent Definition
# š± AI Crop Doctor <p align="center"> <img src="https://readme-typing-svg.demolab.com?font=Inter&size=28&pause=1200¢er=true&vCenter=true&width=600&lines=Detect+early%2C+protect+fully+%F0%9F%8C%B1;AI+powered+plant+disease+diagnosis;Your+digital+crop+health+assistant" alt="Typing Animation" /> </p> --- ## š About the Project **AI Crop Doctor** is an AI-powered web application that helps farmers, gardeners, and agricultural experts **identify plant diseases from leaf images**. By combining **machine learning image analysis** with **context-based follow-up questions**, it delivers **accurate diagnoses** and **practical treatment suggestions**. ### How it works 1. **Upload** an image of your plant or leaf (drag-and-drop or click to select) 2. **Answer** a few simple questions about symptoms and conditions 3. **Receive** a confidence-based disease diagnosis and actionable recommendations ### Key Highlights - šø **AI Image Recognition** for plant disease detection - š§ **Interactive Q\&A** for improved accuracy - š **Confidence Scores** for transparency - š± **Fully Responsive** and mobile-friendly design - šÆ **Actionable Recommendations** to help protect crops --- ## š§āš¾ Step-by-Step Usage Guide Follow these simple steps to use AI Crop Doctor effectively: 1. Open the AI Crop Doctor web application in your browser. 2. Upload a clear image of the affected plant leaf using drag-and-drop or file selection. 3. Ensure the image is well-lit and focused for accurate analysis. 4. Click on the **Analyze Image** button to start the diagnosis. 5. Answer the follow-up questions related to plant condition and symptoms. 6. Wait a few seconds while the AI processes the image. 7. View the detected disease along with confidence score and treatment recommendations. --- ## š Project Structure ```bash š ai-crop-disease-detection-agent/ ā__š app.py ā__š class_indices.json ā__š crop_diagnosis_best_model.tflite ā__š README.md ā__š requirements.txt ā__š .gi
Comments
More Agents
View allresearch
NotebookLM
Google's AI-powered research notebook that ingests your documents and becomes an expert on your content. Generates audio overviews, study guides, FAQs, and interactive discussions from uploaded sources.
G
Googlebrowser
Project Mariner (Browser Agent)
Google DeepMind's experimental AI agent that can navigate websites, fill forms, and complete multi-step browser tasks autonomously. Uses Gemini's multimodal understanding to interact with web interfaces.
G
Google DeepMindmultimodal
Project Astra (Multimodal Agent)
Google DeepMind's universal AI assistant prototype that can see, hear, and respond in real-time through your device camera and microphone. Demonstrates the future of multimodal AI interaction.
G
Google DeepMindenterprise
Gemini Enterprise Agent Platform
Google Cloud's enterprise platform for building, deploying, and managing AI agents powered by Gemini. Supports multi-agent orchestration, tool integration, and enterprise governance.
G
Google Cloudresearch
Gemini Deep Research Agent
Gemini's agentic research capability that autonomously browses the web, synthesizes information from dozens of sources, and produces comprehensive research reports on any topic.
G
Googlecanvas
Gemini Canvas Agent
Interactive coding and content creation agent that generates, previews, and iterates on code, documents, and interactive applications in a side panel. Supports HTML/CSS/JS, Python, and more.
G
Google