PlantTools - Smart Agriculture Assistant

A comprehensive agriculture tool that provides intelligent recommendations for plant care, watering schedules, and crop selection based on environmental conditions and soil analysis. Available as a web application and iOS companion app.

🌟 Features

1. Watering Recommendations

• Calculates optimal watering schedules based on:
  • Soil type and composition
  • Local weather conditions
  • Plant-specific requirements
  • Container size and type
• Supports both pot and yard area calculations
• Generates detailed watering plans with frequency and amount recommendations

2. Crop Recommendations

• Provides crop suggestions based on:
  • Local climate data
  • Soil conditions
  • Temperature and humidity
  • Available growing space
• Supports both optimal and selective modes
• Includes detailed growing requirements for each crop

3. Plant Analysis

• Plant identification using PlantNet API
• Disease detection using YOLO and ResNet-34 models
• Growth stage classification
• Detailed plant health analysis
• Treatment recommendations for identified issues

🛠 Technical Stack

Backend

• Python 3.x
• Flask web framework
• Gunicorn WSGI server
• Key Dependencies:
  • ultralytics (YOLO)
  • torch and torchvision
  • rasterio for geospatial data
  • pandas for data manipulation
  • requests for API calls
  • gunicorn for production deployment

📋 Prerequisites

Backend

• Python 3.x
• pip (Python package manager)
• Virtual environment (recommended)
• Required API keys:
  • OpenWeather API
  • PlantNet API
  • Visual Crossing API

🚀 Installation

Backend Setup

1. Download the Repository from releases (don't clone the repo, it doesn't contain all the files), unzip, and navigate to the folder

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Set up environment variables:

   export OPENWEATHER_API_KEY="your_key"
   export PLANTNET_API_KEY="your_key"
   export VISUAL_CROSSING_API_KEY="your_key"

5. Run the development server:

   python server.py

🌐 API Endpoints

Watering Recommendations

• POST /api/watering
  • Input: Location, soil type, container details
  • Output: Watering schedule and recommendations

Crop Recommendations

• POST /api/crop_recommendation
  • Input: Location, soil conditions, preferences
  • Output: Crop recommendations with details

Plant Analysis

• POST /api/plant_analysis
  • Input: Plant image
  • Output: Plant identification and health analysis

🔒 Security

• API key management
• Secure file uploads
• Input validation
• Session management
• HTTPS support
• Location data privacy
• Secure image handling

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Support

For support, please open an issue in the GitHub repository or contact the maintainers.

🙏 Acknowledgments

• PlantNet API for plant identification
• OpenWeather API for weather data
• Visual Crossing API for historical climate data
• YOLO and ResNet-34 for image analysis