Skip to content

Latest commit

 

History

History
67 lines (47 loc) · 2.84 KB

README.md

File metadata and controls

67 lines (47 loc) · 2.84 KB

Wheat Farming AI Disease Detection and Chatbot Support

Project Description

Welcome to our revolutionary project aimed at transforming wheat farming through the power of Artificial Intelligence (AI) and cutting-edge technology. Our system is designed to evolutionize wheat farming practices by providing AI-powered disease detection and chatbot support to empower farmers with real-time insights and expert advice.

Key Features

AI-driven Disease Diagnosis

Our intelligent system utilizes state-of-the-art image recognition technology to analyze wheat plants. It delivers instant insights into potential diseases, enabling farmers to take timely and informed actions.

Real-time Chatbot Support

Our interactive chatbot serves as a trusted advisor, offering a range of features:

  • Disease Identification: Receive clear explanations and visual examples of identified wheat diseases.
  • Treatment Recommendations: Access recommended treatment plans based on the diagnosed illness.
  • Expert Advice: Connect with agricultural specialists directly through the platform for personalized guidance.

Additional Features

  • Early Detection: Identify diseases at their earliest stages, facilitating prompt intervention and minimizing crop loss.
  • Improved Crop Management: Gain valuable insights into wheat health, enabling informed decisions to optimize growth and yield.
  • Increased Efficiency: Save time and resources by effectively managing your wheat crops with the help of AI and expert assistance.

Skills and Deliverables

Technologies Used

  • Artificial Intelligence
  • Computer Vision
  • Deep Learning
  • Machine Learning Model
  • Machine Learning
  • Python
  • Natural Language Processing
  • Chatbot
  • Object Detection
  • Flask
  • Web Page
  • HTML
  • CSS

Getting Started

To get started with our AI-powered wheat farming system, follow these steps:

  1. Clone the Repository: gh repo clone Geo-y20/Leverage-AI-in-hydroponic-farm
  2. Install Dependencies: pip install -r requirements.txt
  3. Run the Application: python app.py

Visit http://localhost:5000 in your web browser to experience the power of AI in wheat farming.

Contributors

Sample of Web Page