Git Product home page Git Product logo

ravikant-diwakar / crop-recommendation Goto Github PK

View Code? Open in Web Editor NEW
1.0 1.0 0.0 960 KB

This Crop Recommendation App is developed as a part of a Data Analytics project. Our Crop Recommendation Web App is designed to assist farmers in making informed decisions about crop selection, ultimately leading to improved agricultural productivity and sustainability.

Jupyter Notebook 96.57% Python 3.43%

crop-recommendation's Introduction

Crop-Recommendation

This app helps farmers predict the most suitable crop to grow based on various environmental factors. Our innovative platform uses advanced data analytics techniques to recommend the best crops for your land based on various factors such as soil nutrients, temperature, humidity, pH levels, and rainfall. With our user-friendly interface, you can easily input your crop details and receive tailored recommendations in just a few clicks. Explore our website to learn more about how our Crop Recommendation Web App works and how it can benefit you!

Utilizing the power of data analytics, our platform analyzes various factors including soil nutrients (Nitrogen, Phosphorus, Potassium), environmental conditions (temperature, humidity, rainfall), and soil pH levels to generate personalized crop recommendations. By considering these crucial parameters, we aim to optimize crop selection for specific land conditions, thereby enhancing yield and profitability for farmers.

Key Features:

  • Predicts the most suitable crop based on soil and environmental conditions.
  • Uses a Random Forest classifier trained on a dataset of crop parameters.
  • Provides easy-to-use interface for farmers to make informed decisions.

crop-recommendation's People

Contributors

ravikant-diwakar avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.