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Releases: SurajSanap/Cultivision

CultiVision V1.0

03 Jan 14:27
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A data science-powered precision agriculture platform designed to assist farmers with essential decision-making tools. This version focuses on delivering core functionalities to improve agricultural productivity.

Key Functionalities:

  • Crop Selection:

    • Recommends suitable crops based on soil characteristics using ML algorithms like Random Forest and SVM.
  • Fertilizer Optimization:

    • Provides nutrient-specific fertilizer suggestions by analyzing soil NPK values and matching them to crop requirements.
  • Pest Identification:

    • Identifies pests using a CNN-based deep learning model and recommends appropriate pesticides.

Technology Stack:

  • Programming Language: Python
  • Framework: Flask
  • Machine Learning: scikit-learn (Random Forest, SVM)
  • Deep Learning: TensorFlow (CNNs)

This version lays the foundation for more advanced features in future iterations.

Full Changelog: https://github.com/SurajSanap/Cultivision/commits/v1.0

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