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SIH 2020

Real time land usage monitoring tool using satellite data and artificial intelligence (P.S: NS275)

Team Name- Shooting Stars

Our idea is to develop a crop monitoring system which doesn’t require any manual effort and eliminating the middlemen and the corruption while selling the yields. We will also act as a bridge between farmers and government so that government could help the farmers in need as quickly as possible.
Farmers can use the platform to monitor weather conditions for minimizing related risks, plan and manage field works to prevent losses. Vegetation Indices will be used for analysis of the field and related information will be displayed for proper decision making and act as a supportive mechanism for yield prediction.
Insurers will be able to extract historical information about the field vegetation, climate/ weather data, and assess land usage without visiting these fields as these can be easily monitored directly from the platform.
Both the website and mobile app will be bilingual i.e. English and Hindi so that both the it would be suitable for all the farmers.

For more information, you can refer to our presentation slides. For ML model showcase video, you can scroll down.

The website is deployed at - stubble-trouble.herokuapp.com

The members of the team are-
Shriyansh, Prince, Prakash, Edwin, Pritika, Bharat
The images of the team members are uploaded in the folder team_image

ML Showcase Video

Watch the Video

Some Illustrations

Scrapped Image

Scrapped Image

HED Filtered Image

HED

Coordinates Marked

Coordinates

Result

Result

Crop Predicted

Crop

Wiki

Welcome to the SIH 2020 wiki!

  1. Fork the Repo
  2. Clone the Repo from the Fork - git clone <link-from-fork>
  3. git remote add upstream https://github.com/princebansal42/SIH2020.git

Making Changes to Code

  1. Create a branch Before pushing the code to Fork ,execute these commands to sync to the main repo
  2. git fetch upstream
  3. git checkout master
  4. git merge upstream/master

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