Python Machine Learning Project - Prediction of soil properties - ClickMyProject
Information about soil properties help the farmers to do effective and efficient farming, and yield more crops with less usage of resources.
An attempt has been made in this paper to predict the soil properties using machine learning approaches. The main properties of soil prediction are Calcium, Phosphorus, pH, Soil Organic Carbon, and Sand.
So, there is a need for accurate fertilizer recommendations for the farmer and accurately analyzing soil properties.
Here, we can predict the soil properties as well as recommend the crop based on soil properties using machine learning.
The system is developed the machine learning algorithm such as random forest regression and ridge regression.
Including Packages
=======================
Base Paper
Complete Source Code
Complete Documentation
Complete Presentation Slides
Flow Diagram
Database File
Screenshots
Execution Procedure
Readme File
Addons
Video Tutorials
Supporting Softwares
Specialization
=======================
24/7 Support
Ticketing System
Voice Conference
Video On Demand *
Remote Connectivity *
Code Customization **
Document Customization **
Live Chat Support *
Toll Free Support *
Call Us:+91 967-774-8277, +91 967-775-1577
Shop Now @ http://clickmyproject.com
Get Discount @
Chat Now @ https://bit.ly/3rzVhHE
Visit Our Channel: https://bit.ly/3eY0h3M
Mail Us: [email protected]
