Skip to content

Hamza29199/Senseil-soil-analyzing-application

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This is a machine learning program written in Python that can analyze soil data and determine if it's vulnerable to
erosion or not with over 98.5% accuracy.

Once it has identified the soil, it sends a text message to your phone number via the Twilio API, informing you about the nature of the soil
and giving you advice accordingly.

The ML algorithm that has been implmented for this purpose is Support Vector Machines (SVM), as it is essentially a binary
classification problem with multiple features.

The datasets have been obtained from Kaggle from the AFSIS competition. The features that have been used include 
Sand, Potassium, Calcium, Carbon content and pH value.

About

Machine learning algorithm in Python that can analyze soil data and determine if it's vulnerable to erosion or not.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages