Skip to content

The mobile application predicts the suitable fertilizer for the soil using Naive Bayes Classifier based on the history data sets. The history of datasets gets compared with the resultant value to predict the suitable fertilizer. It also helps in directing the farmers to the nearest soil test center. ● Developed using Android. Fuzzy logic techniq…

Notifications You must be signed in to change notification settings

shrikantkhurd/Soil-Analysis-and-fertilizer-prediction-model-for-farmers-using-machine-learning-approach-

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Soil-Analysis-and-fertilizer-prediction-model-for-farmers-using-machine-learning-approach-

The mobile application predicts the suitable fertilizer for the soil using Naive Bayes Classifier based on the history data sets. The history of datasets gets compared with the resultant value to predict the suitable fertilizer. It also helps in directing the farmers to the nearest soil test center. ● Developed using Android. Fuzzy logic technique has been used to predict the fertility of the soil from the questionnaire answered by the end users

About

The mobile application predicts the suitable fertilizer for the soil using Naive Bayes Classifier based on the history data sets. The history of datasets gets compared with the resultant value to predict the suitable fertilizer. It also helps in directing the farmers to the nearest soil test center. ● Developed using Android. Fuzzy logic techniq…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Java 100.0%