The Design of Hybrid Crop Recommendation System using Machine Learning Algorithms

Crop Recommendation System for agriculture is based on various input parameters. This paper proposes a hybrid model for recommending crops to south Indian states by considering various attributes. The recommender model is built as a hybrid model using the classifier algorithm such as Naive Bayes, J4...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of innovative technology and exploring engineering Vol. 9; no. 2; pp. 4305 - 4311
Main Authors Ms. Viviliya, V, Prof. Vaidhehi
Format Journal Article
LanguageEnglish
Published 30.12.2019
Online AccessGet full text
ISSN2278-3075
2278-3075
DOI10.35940/ijitee.B7219.129219

Cover

More Information
Summary:Crop Recommendation System for agriculture is based on various input parameters. This paper proposes a hybrid model for recommending crops to south Indian states by considering various attributes. The recommender model is built as a hybrid model using the classifier algorithm such as Naive Bayes, J48 and association rules. Based on the appropriate parameters, the system will recommend the crop. Technology-based crop recommendation system for agriculture helps the farmers to increase the crop yield by recommending a suitable crop for their land with the help of geographic and the climatic parameters. The proposed hybrid recommender model is found to be effective in recommending a suitable crop.
ISSN:2278-3075
2278-3075
DOI:10.35940/ijitee.B7219.129219