Crop Yield Prediction based on Indian Agriculture using Machine Learning

Crop Yield Prediction based on Indian Agriculture using Machine Learning

₹5,500.00
Product Code: Python - Machine Learning
Availability: In Stock
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Product Description

AIM

To be precise and accurate in predicting crop yield and deliver the end user With  proper recommendations about required fertilizer ratio based  on soil parameters.


ABSTRACT

          India is the land of agriculture and it is the major source of economy.70% of Indian population directly rely on agriculture. The common problem existing among the young Indian farmers is to choose the right crop based on the soil requirements. Due to this, they face a serious setback in productivity.Our work proposes to help farmers determine the soil quality by doing analysis on its various parameters and to suggest crops based on the results obtained using data mining approach.

         The system uses the Classification algorithm of Support Vector Machine to improve the efficiency of Crop Recommendation System. The system maps the soil and crop data to predict the list of suitable crops for the soil and it also provides the information about nutrients which are deficient in soil for the particular crop . Hence it leaves upon the user to decide on the crop to be sown. Thus, the system helps to provide knowledge to the dilettante farmers.


PROPOSED SYSTEM

        The proposed system obtains the soil and crop parameters and map those to list the    suitable crops . It passes the various inputs to the controller which uses the Support Vector Machine Algorithm for classification. The proposed system provide easy accessibility to the users. They are also easy to use and understand by the dilettante farmers. It improves the visualisation and understandability.


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Package Includes

Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.