https://github.com/shreyansh-21/agrivisionai

A machine learning-powered precision agriculture tool for crop and soil analysis. Provides insights and recommendations to optimize farming efficiency and boost yields.
https://github.com/shreyansh-21/agrivisionai

Last synced: 3 months ago
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A machine learning-powered precision agriculture tool for crop and soil analysis. Provides insights and recommendations to optimize farming efficiency and boost yields.

• Host: GitHub
• URL: https://github.com/shreyansh-21/agrivisionai
• Owner: shreyansh-21
• Created: 2025-02-20T04:56:01.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2025-03-09T06:44:13.000Z (4 months ago)
• Last Synced: 2025-03-09T07:25:38.375Z (4 months ago)
• Language: Jupyter Notebook
• Homepage: https://crop-prediction-puce.vercel.app/
• Size: 2.36 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
🌱 Precision Crop and Soil Analysis with Machine Learning

Check out the Site



This project leverages machine learning to analyze soil properties and environmental conditions, providing farmers with precise crop recommendations. 

By integrating advanced data analytics, it helps optimize resource usage, enhance yield, and promote sustainable farming.


📌 Why This Project?



  
🌾 Improving Crop Selection: Recommends the best crops based on soil and weather data.

  
💧 Optimizing Resource Usage: Helps reduce water and fertilizer wastage.

  
📈 Data-Driven Agriculture: Uses AI/ML models to make precise predictions.

  
🌍 Climate Adaptation: Assists farmers in dealing with unpredictable weather patterns.



⚙️ How It Works

The system collects soil and weather data, processes it using machine learning models, and generates crop recommendations. Key components include:



  
📊 Data Collection: Soil nutrients (N, P, K), rainfall, temperature, and humidity.

  
🧠 Machine Learning Model: Uses Gradient Boosting for crop prediction.

  
📈 Data Visualization: Provides insights through graphs and reports.



📊 Data Sources



  
🛰️ Soil Health Card Portal



  
🚜 Farmer Portal



  
💧 India Water Resources Information System





🚀 Key Features



  
✅ Provides **crop recommendations** based on soil and climate data.

  
✅ Uses **predictive modeling** to suggest suitable crops.

  
✅ Offers **data-driven insights** to farmers for better decision-making.

  
✅ Promotes **sustainable agriculture** by optimizing fertilizer and water use.



🔮 Future Scope



  
🌾 Expansion to include **pest and disease prediction**.

  
📡 Integration with **real-time IoT-based soil sensors**.

  
📱 Development of a **mobile app** for farmers.





 Shreyansh