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...

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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

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Abstract 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.
AbstractList 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.
Author Ms. Viviliya
V, Prof. Vaidhehi
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CorporateAuthor received her MSc degree from Bharathidasan University, Tamil Nadu and MPhil Degree from Kamaraj University, Tamil Nadu, India
B received her BCA degree from Bishop Heber College, Bharathidasan University, Tamil Nadu, India
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