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Soil Moisture and Crop Prediction : Using Deep Learning

App to monitor soil moisture using a standard digital image and machine learning technology.
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Table of Contents

  1. About The Project
  2. Getting Started
  3. Roadmap
  4. Contributing
  5. Contact

About The Project

RPReplay_Final1675287630-3.mp4
  • Mobile application which replaces teh traditional hardware sensor to predict moisture content in soil
  • The applicaiton works on AI Technology to detect moisture content using soil image along wiht many other helpful recommendations

Benefit of the Project

  • Categorising the soil into dry, wet, soaked, regular type based on the moisture content
  • Predicting moisture content of the soil
  • Recommending plants that can grow on the respective soil type considering the moisture content
  • Describing the desired crop features from reliable sources

Built With

Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

Install flutter

  • bash
     git clone https://github.com/flutter/flutter.git -b stable

Installation

  1. Clone the repo
    git clone https://github.com/raysummee/soil_moisture.git
  2. Install pub plugins
    flutter pub get
  3. Run the app
    flutter run

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

Contact

Angshuman Barpujari - @instagram - [email protected]

Project Link: https://github.com/raysummee/soil_moisture

soil-moisture-prediction's People

Contributors

abhinav1004 avatar raysummee avatar

Forkers

dev-vikash2v7

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